Advanced Data Engineer & AI Developer

@tadinhkien

Greetings, Thank you for considering my application for this project. As an AI Engineer and Python Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Python, Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

@corpmember29

Hi, I have 10+ years of experience in Data Engineering and AI/ML, building scalable cloud data platforms on AWS, Snowflake, Python, SQL, Spark, and Informatica IDMC. I've developed AI-powered solutions including RAG pipelines, LLM integrations, chatbots, vector search, and MLOps workflows with CI/CD, monitoring, and governance. My expertise includes designing secure data pipelines with AWS Glue, S3, Lambda, Snowflake, implementing feature engineering, metadata management, lineage tracking, and data quality validation. I also have experience working with FHIR/HL7 healthcare data and production-ready AI systems. I can quickly contribute by strengthening your data pipelines, supporting MLOps, and delivering scalable AI POCs while following enterprise governance and best practices. I'd be happy to discuss how my experience aligns with your team and project goals. Thansk CHRISTINA

@mobimubasir

Hello there, I have extensive experience building scalable data pipelines, cloud-based AI/ML solutions, and MLOps workflows using Python, SQL, Spark, AWS, Snowflake, and automation tools. I can help design robust data architectures, implement governance, feature engineering, CI/CD pipelines, and deploy GenAI solutions including RAG, LLM workflows, and vector search systems. With strong data engineering and AI integration expertise, I can deliver secure, production-ready solutions aligned with enterprise healthcare and compliance requirements.

@juanpablomacf

I can support your team as a Senior Data Engineer & AI Developer, combining hardened cloud pipelines with business‑facing AI/ML POCs. I have extensive experience building feature stores, governing enterprise data flows, and operationalizing GenAI workloads. If helpful, I can explain how I design a governed data pipeline or how I build a RAG production workflow aligned with MLOps best practices. My focus: • Scalable pipelines for AI/ML workloads, feature engineering and lineage tracking. • Integration of structured/unstructured data via AWS Glue, Snowflake and IDMC. • MLOps with CI/CD (GitHub Actions), monitoring, drift mitigation and automation. • Governance‑by‑design: quality checks, metadata, compliance and healthcare standards (FHIR/HL7). • GenAI experience: NLP, RAG, vector DBs, MCP, prompt engineering. I’ve delivered enterprise‑grade pipelines and operational AI systems for regulated industries. Ready to align with your architecture, stack and delivery cadence.

@mayankinnovative

Having over two decades of experience in PHP-based development and a specialization in business-critical projects, I understand the vital importance of robust and scalable systems. Just as my skills have provided stable and efficient solutions to WooCommerce and Laravel systems impacting sales, I believe they can also contribute to the Core Focus of designing, automating, and scaling robust data pipelines for AI/ML. By leveraging my expertise with languages like Python, SQL, and Spark combined with proficiency in AWS (Glue, S3, Lambda) and Snowflake technologies, I can help streamline your data ingestion processes and ease the creation of feature stores. Moreover, I have extensive experience in implementing DevOps/MLOps practices transforming software development procedures enabling continuous integration/delivery – a skill that can be effectively utilized to operationalize AI/ML models. Having tackled challenges across various industry verticals including healthcare data management, I have insights into healthcare data standards such as FHIR and HL7, ensuring that my work aligns with regulatory requirements. Lastly, my 4000+ hours spent on the platform are a testament to my reliability and capacity for long-term commitment. I'm here not just to solve immediate technical demands but to grow alongside my clients, sustaining their evolving needs.

@ykarora26

With over a decade in Data Engineering and significant expertise in AI/ML data pipelines, I understand the critical need to harden cloud pipelines and build impactful POCs. Leveraging my experience with Python, SQL, and AWS services like Glue and Lambda, I can effectively design and automate robust data pipelines. How would you prioritize feature store development alongside pipeline scaling to ensure seamless model training and inference processes? Regards, Yogesh Kumar

@toriquldev123

Hello There! I’m Md Toriqul Islam, and I’m excited to partner with you. I can dive into your project immediately. I have rich experience in Python, SQL, AWS, Snowflake, Spark, AI/ML pipelines, MLOps, and cloud data engineering. I understand you need an experienced Data Engineer & AI Developer to build and govern scalable AI/ML data pipelines, develop business-focused AI POCs, implement MLOps practices, and ensure robust data quality, governance, and automation across AWS and Snowflake. I can deliver reliable, maintainable, and production-ready solutions. I am skilled in Python, SQL, Spark, AWS Glue, Snowflake, GitHub Actions, MLOps, AI/ML, and Data Engineering. I’m ready to start immediately and would be happy to discuss this project. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@ashinnd84

Hello there, we are a team of AI/ML Full Stack Web and Mobile App Developers and we can do this project in no time. Thanks Ashish Kumar.

@carlosd178

Hello, As a result of reviewing your project requirements, I understand that you need support for cloud data pipeline hardening, governance, MLOps, and business-facing AI/ML and GenAI POCs. I have experience handling similar data engineering and AI pipeline projects and I’m available to start right now. I bring strong expertise in Python, SQL, Spark, AWS Glue, S3, Lambda, Snowflake, Informatica IDMC/IICS, MLOps, GenAI, RAG, vector databases, GitHub Actions, and data governance. My simple approach would be to review the current AWS/Snowflake/Informatica pipeline setup, strengthen data quality checks, metadata tagging, lineage, feature engineering flow, CI/CD, monitoring, and support GenAI POCs such as RAG, chatbots, or NLP workflows. I would also keep governance-by-design in mind, especially for healthcare-related data standards such as FHIR/HL7 and regulated data handling. I have a couple of quick questions. • Are the existing pipelines already running in AWS/Snowflake, or do some parts need to be built from scratch? • Do you already use a feature store or MLOps monitoring platform? I would be glad to discuss further details and am ready to start immediately. Looking forward to hearing from you. Best regards, Carlos.

@iimtpradeepdash

You only get dependable AI workloads if the feature store and data pipeline are clean, versioned, and strongly governed. Automating data integration across AWS Glue, Snowflake, and IDMC is where most models fail silently—especially with unstructured data and evolving schemas. I build and refactor pipelines that support tight governance, full lineage, and auditable model input: FHIR/HL7 included. Matched this on my last two projects—one, a healthcare platform refactoring S3-to-Snowflake ETL with full metadata and RAG for retrieval. Certified AWS/Snowflake. Stack: Python and Spark for ETL/feature pipelines, Snowpark and Cortex for ops, GitHub Actions for CI/CD. MLOps infra in place for vector DBs and prompt workflows, with drift monitoring. You already have an IDMC core, or is Informatica new for this build? Pradeep

@dataspro

Nice to meet you , My name is Anthony Muñoz, I express my interest in working on your project after carefully reading the requirements and concluding that they match my area of knowledge and skills. I am currently the lead engineer for the IT agency DSPro and I have more than 10 years of experience in the field. I have successfully completed a large number of similar jobs and I consider your project to be a challenge in which I would like to work and be able to make it a reality. Please feel free to contact me, it will be my pleasure to help you. I greatly appreciate the time provided and I remain attentive to any questions or concerns. Greetings

@KrisuTechkul

As a seasoned data engineer with over a decade of experience, I've honed my skills to specialize in the exact areas your project demands. From designing, automating, and scaling robust data pipelines for AI/ML workloads to implementing DevOps/MLOps practices using CI/CD pipelines via GitHub Actions, I've got it all covered. Moreover, my proficiency with AWS (Glue, S3, Lambda), Snowflake (Snowpark, Container Services, Cortex), and Informatica IDMC / IICS makes me aptly adept at managing every aspect of your data integration architecture. In addition to my core data engineering competency, I also have hands-on experience deploying complex AI projects such as RAG models that are increasingly sought after due to their efficiency with unstructured data like natural language processing (NLP) and chatbots. If this isn't enough evidence of my machine learning skills, let me also mention my capacity for applying predictive analytics for demand forecasting - a significant contributor to business growth.

@ambientinfotech

Hello, I'd love to assist you with your Python development project. I have 15+ years of experience delivering custom software solutions and have successfully developed web applications, automation tools, APIs, backend systems, and AI-powered applications for clients across various industries. My Python expertise includes: * Custom Python Application Development * Django & FastAPI Development * REST API Development & Integration * Automation & Scripting * Data Processing & ETL * AI & Machine Learning Integration * Web Scraping & Data Extraction * Database Design (PostgreSQL, MySQL, MongoDB) * Third-party API Integrations * AWS Deployment, Docker & CI/CD I focus on writing clean, scalable, secure, and well-documented code while maintaining clear communication throughout the project. Why choose me? * 15+ years of software development experience * Strong expertise in Python, PHP/Laravel, MERN Stack, Flutter, and AI solutions * Reliable communication and regular progress updates * On-time delivery with ongoing support * Experience working with startups, agencies, and enterprise clients I'd be happy to discuss your project requirements, review your existing system (if applicable), and recommend the most efficient solution. Looking forward to hearing from you and discussing how I can contribute to your project's success. Best regards, Deva

@krupnovdenis

Hello! We can provide an external team to cover your data engineering and AI/ML tasks. 1. Are you open to working with an external contractor or team for these tasks? 2. Which tasks and technologies need to be covered first? — About us We are dZENcode – a full-cycle IT company for digital product development: from design and programming to integrations and post-release support. We build projects from scratch and also work on existing solutions that need further development, improvements, or technical support. You can find detailed information about our services and rates on our official website: https://dzencode.com. Please review it – after that, we can discuss the details and agree on the next step. ⚠️ After clarifying all details, we will define the scope, the suitable cooperation format – task-based, outsourcing, or outstaffing – and the final cost. Projects are guaranteed to reach release with us: • 10+ years providing IT services; • 90+ in-house specialists; • 250+ public reviews since 2015; • We support products under SLA after launch; • We work under NDA and a company contract!

@iterativeTech

With over a decade in the data engineering field, including an impressive track record with AI/ML data pipelines for the past three years, I believe my skillset aligns perfectly with your requirements. In addition to operationalizing and scaling models, I've got hands-on experience in conducting strict data quality checks and establishing end-to-end lineage tracking - all built around compliance with enterprise data governance and industry regulations. My proficiency extends to several technologies integral to your project such as AWS Glue, Snowflake, Informatica Data Management Cloud (IDMC) and GitHub Actions for deploying CI/CD pipelines. Furthermore, I have substantial cloud platform knowledge; AWS (Glue, S3, Lambda), Snowflake (Snowpark, Container Services, Cortex), which pairs well with my Python and Spark abilities. Another value-add I bring is my work on Generative AI projects like NLP, RAG as well as other chatbots - these skills can be leveraged to their fullest potential in your project. Certifications such as AWS Certified Data Engineer and Snowflake SnowPro Advanced further prove my commitment to staying up-to-date on the latest trends in the industry. To summarize, my strategic mindset tied with a technical acumen makes me the ideal choice for your Advanced Data Engineer & AI Developer role.

@rishi9343

I'll design and automate solid data pipelines for AI/ML workloads, build feature stores, and implement DevOps/MLOps practices using AWS Glue, Snowflake, and Informatica IDMC. I'll deliver high-quality pipelines with strict data quality checks and metadata tagging. Ready to start immediately.

@Ateeshkumar

With over a decade in the field, my expertise as an Azure Data Engineer places me in a unique position to excel at this project. I have spent the last three years focusing specifically on AI/ML data pipelines, which aligns perfectly with your technical needs. Notably, I've deployed multiple ETL pipelines on Azure, significantly improving pipeline performance via PySpark optimization - a skill set that will be highly valuable in scaling and robustly automating your cloud data pipelines. Moreover, my fluency with various healthcare data standards including FHIR and HL7 positions me to seamlessly integrate into your firm’s operations. As a current Data Engineer at TCS, I’ve gained insights into regulatory data handling that are relevant to your enterprise data governance requirements; an area that is increasingly becoming crucial across industries. Additionally, I hold the Databricks Certified Data Engineer Associate and Microsoft Certified Fabric Data Engineer Associate (DP-700) certifications — further bolstering my capability for the job. With deep hands-on experience in cloud-based platforms such as AWS Glue, S3, Lambda, Snowflake architecture such as Snowpark and Container Services and Informatica IDMC/IICS. My proficiency extends to Spark , Python, SQL among others necessary for this data engineering role speaks directly to your need for an Advanced Data Engineer & AI Developer. With me on your team

@jagratip3

I propose bringing my expertise in AI/ML Data Engineering, Cloud Pipeline Engineering, and MLOps to help build secure, scalable, and production-ready data platforms that support advanced AI solutions. Milestone 1 – Data Pipeline & Governance Assessment Review existing data architecture, pipelines, and ML workflows Design scalable ingestion and transformation pipelines using AWS Glue, Snowflake, Spark, and Informatica IDMC Implement data quality checks, metadata management, and lineage tracking Milestone 2 – AI/ML Pipeline & MLOps Implementation Build and optimize feature pipelines for training and inference Develop CI/CD workflows using GitHub Actions Support model deployment, monitoring, performance tracking, and drift management Enable Generative AI solutions including RAG, NLP, chatbot workflows, vector databases, and LLM integrations Milestone 3 – Production Readiness & Optimization Improve reliability, scalability, and security of AI workloads Troubleshoot production issues and optimize cloud performance Provide technical documentation and best practices for long-term operations My approach combines strong data engineering foundations with modern AI/ML practices, ensuring governed, reliable, and enterprise-ready solutions. I focus on building systems that are not only functional but also scalable, compliant, and maintainable in production environments, including regulated industries such as healthcare.

@artemb35

I understand you're looking for an Advanced Data Engineer & AI Developer to enhance your cloud data pipelines and develop AI/ML Proof of Concepts. I have over 10 years of experience in Data Engineering, with a strong focus on AI/ML data pipelines, making me a perfect fit for your needs. **Build Plan:** - **Data Pipeline Development:** Design and automate data pipelines using AWS Glue and Snowflake, ensuring scalability for AI/ML workloads. - **Feature Stores:** Implement and manage feature stores for efficient model training and inference. - **MLOps Practices:** Set up CI/CD pipelines with GitHub Actions, monitor performance, and address production issues to mitigate model drift. - **Data Governance:** Establish data quality checks, metadata tagging, and lineage tracking to comply with industry regulations. - **Generative AI Projects:** Leverage my hands-on experience in deploying NLP and RAG projects to build impactful POCs. - **Collaboration:** Work directly with your data science teams to operationalize and monitor models effectively. I can start immediately and communicate directly. Could you clarify if there are specific healthcare data standards you want to prioritize? Looking forward to your response. Best, Artem