Senior Data Engineer Required

@Microlent

This looks straightforward at first, but in my experience there’s usually a key detail that can cause issues later. I’ve handled similar projects before and can outline a practical approach for you. For similar work and case studies, feel free to check my profile: https://www.freelancer.com/u/Microlent Let me know if you I'd like me to walk you through the plan. – Rajesh Rolen

@SmartCodeDev

Hey, hope you're doing well. This lines up well with my background — I’ve built AWS-based data platforms using Python, ETL pipelines, Lambda workflows, Step Functions, S3, DynamoDB, APIs, and production-grade backend systems. Also comfortable around ML workflows, distributed processing, CI/CD, monitoring, and handling complex data reliability problems. Can join immediately and happy to share resume + LinkedIn. Would love to discuss further. Thanks

@pinkeegupta

Hi, I have reviewed your project requirements and I’m confident I can deliver accurate, data-driven, and scalable solutions for your needs. I bring 9+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch, Cursor, Calude, gemini, nano, chatgpt. I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@KarthikTechCon

Hello, I’m Karthik with 15+ years of experience in WhatsApp Business API integrations, Meta Business verification, automation platforms, and cloud communication systems. Our team at Resonite Technologies can help complete your Meta verification process and activate the WhatsApp Business API for marketing and customer communication workflows. We can assist with: ✔ Meta Business verification setup ✔ Green-tick verification guidance & submission ✔ WhatsApp Cloud API or On-Premise API activation ✔ Domain & business verification support ✔ Message template creation & approval ✔ Promotional and service-update templates ✔ API testing via Postman/cURL/sample scripts ✔ Webhook & messaging workflow setup ✔ Meta policy compliance & opt-out guidance Typical Timeline: • Business verification: 1–7 days (depends on Meta review) • API activation: 1–2 days • Template approval: Few minutes to 24 hours • Green tick approval: Usually varies from a few days to a few weeks depending on brand eligibility Documents/Access Needed: ✔ Facebook Business Manager access ✔ Business registration details/documents ✔ Domain/DNS access ✔ WhatsApp business number details Deliverables: ✔ Fully activated WhatsApp API ✔ Approved templates ready for use ✔ Sample API requests/scripts ✔ Documentation & walkthrough support Ready to start immediately and guide the process end-to-end. Regards, Karthik Resonite Technologies

@NEHABHAT92

I understand that my profile may not perfectly align with the specific needs outlined for this Senior Data Engineer role, but I believe my diverse skill set still makes me an ideal candidate. My years of experience entail creating robust and scalable systems just like what you're looking for, even if I haven't directly used all the tools you mentioned. As a web and mobile app developer, I've developed a deep expertise in Python, which forms the foundation for several technologies mentioned in the job description like ETL/ELT pipelines and Lambda-based microservices. Moreover, my extensive hands-on expertise with AWS in different capacities showcased my ability to quickly adapt and learn new technologies. This is bolstered by my willingness to acquire new skills - a trait that would ensure any gaps between my current toolset and your requirements will be filled without hindrance on project growth. Beyond technical abilities, I am an avid adherent to best practices including testing, CI/CD, monitoring and data security - attributes essential for high-performance data systems. Let me prove my abilities – let's connect further and see how together we can push your project even further!

@DigitalNightOwl8

Hi , Good afternoon! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in Java, ETL, Pandas, JSP, PySpark, SQL, REST API, AngularJS, Python and NoSQL Couch & Mongo. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Appreciate your prompt response

@Jasim0021

Hi there! ? I've carefully reviewed your project requirements and I'm confident I can deliver exactly what you need. **Why I'm the right fit:** • 7+ years of professional software development experience • Delivered 100+ projects with 98% client satisfaction • Expert in modern tech stack and best practices **My approach to your project:** 1. **Discovery & Planning** — I'll start by understanding your exact requirements, target users, and design preferences 2. **Architecture & Design** — Clean, scalable architecture with modern best practices 3. **Development** — Iterative development with regular demos and feedback loops 4. **Testing & QA** — Comprehensive testing including unit tests, integration tests, and user acceptance testing 5. **Deployment & Support** — Full deployment assistance and post-launch support **What you'll get:** • Clean, well-documented, maintainable code • Responsive design that works on all devices • Secure implementation following industry best practices • Timely delivery with daily progress updates • 30-day free bug-fix support after delivery **Relevant skills:** software development I'd love to discuss your vision in detail. Let's connect and make this happen! Best regards

@sudhir0112

As a Senior Data Engineer with MIT background and experience at Google & Axtria, I've built scalable data pipelines using Python, SQL, Spark, and AWS Redshift. I've delivered production ETL systems for pharma analytics with 99.9% uptime. Available immediately. Let's discuss your requirements — I can start today.

@haitham1996

Hi,I’m a Software Engineer Udacity certified in Full Stack Web Dev and Data Analysis track with over 4+ years of experience building scalable backend systems, RESTful APIs, and automation solutions using these tracks including Java (Spring Boot), Python/Django, and modern low-code tools like N8N. I focus on turning complex requirements into efficient, reliable systems that save time and drive real results. With experience across enterprise, freelance, and self-driven projects, I bring strong problem-solving skills, adaptability, and a results-oriented mindset to every project. I’d be glad to connect and explore how I can add value to your team or business. Check my profile : https://www.freelancer.com/u/haitham1996?frm=haitham1996&sb=t

@PyMLExpert1

Drawing upon my extensive 5+ years of experience in software and data engineering, I am a strong candidate to fulfill this role as your Senior Data Engineer. My proficiency in Python, along with my proven adaptability in working with large-scale data on AWS, make me adept at building scalable multi-tenant systems designed to bolster product delivery. Beyond that, I have a firm grasp of ETL/ELT pipeline development and encompassing backend services and APIs. Putting an emphasis on testing, Continuous Integration/Continuous Deployment and security best practices is second nature to me. I fortify these practices by leveraging distributed systems and implementing robust monitoring mechanisms which aligns perfectly with your requirement of high system reliability with 99.9% uptime. Moreover, my understanding of ML/MLOps (SageMaker, model lifecycle), exposure to Node.js and REST APIs along with potential nice-to-have attributes such as Marketing analytics/anomalous event detection will only complement the value I bring to the table. Lastly, having earned a BQ Pitch: from LinkedIn profile: Data Engineering - Zainab - Sector1

@serviceaxisgroup

Hi, I can help with designing and building scalable multi-tenant AWS data pipelines and APIs that support dashboards and ML workflows. I’ll start by reviewing your current data contracts, schemas, and pipeline flow, then map the end-to-end architecture around Glue/Lambda/S3/Step Functions and CI/CD. To reduce risk, I’ll propose a phased plan with testable milestones, monitoring/error handling from day one, and safe backfill/reprocessing design. Do you already have defined multi-tenant partitioning and schema versioning rules? What are your primary dashboard data sources and freshness SLAs? If you share the current flow, I can align quickly and suggest the first implementation steps.

@Royalitservices

Hi there, You’re absolutely in the RIGHT PLACE. I’ve delivered SIMILAR PROJECTS multiple times and know EXACTLY how to execute this efficiently and correctly from day one. To lock down the SCOPE, TIMELINE, AND PRICING, I’ll need to ask you a few key questions. Unfortunately, Freelancer’s 1500 CHARACTER LIMIT doesn’t allow me to break everything down properly here. Let’s jump on CHAT so I can show you my PROVEN PAST WORK, walk you through the REAL RESULTS I’ve delivered, and outline a CLEAR ACTION PLAN for your project. You’ll immediately see why my approach is DIFFERENT and EFFECTIVE. If you’re serious about getting this done RIGHT, I’m ready to move forward. Looking forward to CONNECTING and WINNING TOGETHER. Cheers, Royal IT service

@tricodingdaily

Hi, I’m a Data Analyst and ETL Developer with experience in SQL, Python, and PySpark. I can help with data processing, ETL testing, query optimization, data validation, and building reliable data pipelines. I focus on delivering accurate, high-quality work within deadlines and maintaining clear communication throughout the project. I’m confident I can contribute effectively to your requirements.

@vijaydogra03

Hello Client, I’m very interested in the Senior Data Engineer role (Job ID: GKS1805_3). I have solid experience designing and building scalable data platforms, ETL/ELT pipelines, backend APIs, and cloud-native systems on AWS. My core expertise includes: Python, SQL, Pandas, PySpark AWS: Lambda, Glue, S3, Athena, DynamoDB, ECS, Step Functions, SageMaker REST APIs, microservices, and event-driven architecture Data pipeline orchestration, monitoring, validation, and CI/CD Large-scale data processing and distributed systems ML workflow integration and MLOps support I’ve contributed to production-grade systems with a strong focus on scalability, reliability, performance, and clean architecture. I’m also comfortable working across backend engineering, data workflows, and dashboard/frontend integrations. I am available to join immediately and can proceed with the interview process right away. I can share: Updated Resume LinkedIn Profile Relevant project/portfolio details Looking forward to connecting and discussing the opportunity further. Regards, Vijay

@Ashoksahu001

Hi, I’m interested in the Senior Data Engineer opportunity. I have strong experience working with Python, AWS services, scalable backend systems, APIs, and data-driven applications. I’ve worked on production-grade architectures involving cloud infrastructure, automation workflows, and scalable engineering solutions. My experience includes: • Python, SQL, REST APIs • AWS services like Lambda, S3, ECS, DynamoDB • Data processing & backend development • CI/CD workflows and scalable system architecture • Node.js and modern web technologies I’m available for immediate joining and comfortable with remote collaboration and ownership-driven environments. Best Regards, Ashok

@agarwalnikita106

Hello, I’ve reviewed your requirements. This is a **production-grade Data Engineering + MLOps + AWS infrastructure project** focused on building scalable, reliable systems with strong emphasis on data pipelines, ML lifecycle management, CI/CD, and observability. Approach 1. Backend & Data Engineering • Python (Pandas / PySpark) pipelines • Scalable ETL workflows for large-scale data • REST APIs + microservices architecture • SQL / NoSQL integration (DynamoDB, relational DBs) 2. AWS Infrastructure • AWS (S3, Lambda, Glue, Athena, ECS, Step Functions) • Event-driven architecture design • Monitoring, logging, and 99.9% uptime design • Scalable cloud architecture 3. MLOps (SageMaker) • Model training, deployment & monitoring pipelines • Model versioning and lifecycle automation • Automated retraining workflows 4. Data Quality & Reliability • Data validation and schema enforcement • Anomaly detection and pipeline monitoring • Backfill and reprocessing strategies 5. CI/CD & DevOps • Automated deployment pipelines • Testing + regression validation • Observability (logs, metrics, alerts) 6. Frontend Support (if needed) • Vue/Next dashboard API integration • Clean backend-to-UI data flow Deliverables • Production-ready AWS data + ML architecture • ETL pipelines + scalable APIs • MLOps pipeline (train → deploy → monitor) • CI/CD + monitoring setup • Data quality + anomaly detection system • Complete documentation + handover

@JoseRCarvas

You'll get end-to-end data infrastructure delivery—multi-tenant AWS pipelines, streaming ETL, Lambda microservices, and workflow orchestration. I build for production: Glue, Step Functions, DynamoDB, SageMaker, and backend APIs. Immediate joiner, direct hire. Let's talk. **Deliverables:** – Scalable Glue/Step Functions pipelines – Lambda microservices + API layer – Multi-tenant data models on DynamoDB/S3 – CI/CD + monitoring setup Avail for AI interview → L1 → client rounds this week. Ping your budget and I’ll confirm fit.

@Sirchon

As an experienced and results-driven freelancer with a strong ownership mindset, I firmly believe I would be an excellent fit for your Senior Data Engineer position. With over 5 years of software and data engineering under my belt, I have cultivated proficiency in the precise areas you seek. My solid grasp of Python - a language I've worked with for over half a decade - is exactly what your project demands, along with my expertise in SQL, Pandas/PySpark, and AWS. Moreover, it is important to note that I possess significant experience dealing with large-scale data processing and distributed systems. Consequently, I am very comfortable navigating the AWS ecosystem including Lambda, Glue, S3, Athena, DynamoDB, ECS and Step Functions. Furthermore, this project's emphasis on system reliability (99.9% uptime), monitoring, error handling and quality checks aligns neatly with my meticulous nature and strong focus on testing, CI/CD and security best practices. Lastly, my knowledge of ML/MLOps and SageMaker will facilitate seamlessly coordinating various stages of machine learning within the broader data systems architecture. In summary, as your new Senior Data Engineer, expect me to leverage my multi-dimensional skillet to design & build scalable multi-tenant systems as well as effectively contribute to backend systems/APIs,and ML workflows.

@rajshin7

As per my past experience, I believe I could be a good fit for this role. Please consider my request for this