Azure Data Engineering Support-30k

@akshaybhagwat76

With a successful record of completing 94% of my jobs, within budget and receiving recommendations, I believe I have the right mix of skill and reliability for your Azure Data Engineering Support project. As a fervent advocate for good communication, I promise to be available to you throughout the project's duration. Proficient in Microsoft SQL Server and SQL, I specialize in developing complex, data-driven web applications. Thus, I am well-acquainted with designing and implementing optimized pipelines that ingest, cleanse and transform data. Beyond the core engineering task, I can also provide clear documentation to ensure efficient self-serving.

@mdaxini

With a solid background in mobile app and full-stack web development, I am an excellent candidate for turning your raw operational feeds into well-structured data sets. Moreover, my fluency in Azure and SQL is invaluable for this project. I have a wealth of experience designing and building automated pipelines, as well as optimizing table structures and query tuning - all of which are central to this assignment. Throughout my 12+ years in the industry, I've learned the importance of clear documentation, enabling analysts to self-serve without interruption. I can't stress enough how vital I believe this aspect is for the continuous growth and evolution of a project, that's why I ensure that all my code is clean, maintainable, and well-documented. In addition to my personal involvement at every stage of the project from planning to delivery oversight, I also manage a technically skilled team who can support our work as needed. This dynamic structure enhances our ability to meet deadlines without compromising quality, ensuring we always deliver scalable, secure solutions on time. I look forward to collaborating with you on this comprehensive data engineering requirement!

@adily1

Hi Prudhvie, I understand you're seeking an expert to transform raw operational feeds into structured datasets in Azure. With over 6 years of experience in SQL, Database Administration, and Azure, I am well-prepared to design and build the automated pipelines you need for data ingestion, cleansing, and transformation. My skills include optimizing table structures, creating effective indexes, and tuning queries for performance and cost efficiency. I will ensure comprehensive documentation, allowing your analysts to self-serve confidently. I specialize in: - End-to-end Data Factory pipelines - Efficient table schemas and partitioning strategies - Concise runbooks and ER diagrams for smooth hand-offs I am excited about the possibility of delivering this project and am ready to get started. Portfolio: https://www.freelancer.com/u/adily1 Thank you, Regard, Adil Yousuf

@Shrutibimpl

Hello, I will serve as your expert to transform your raw operational feeds into reliable data sets within your Azure environment. I will design, build, and refine end-to-end automated pipelines directly in Azure Data Factory to handle the ingestion, cleansing, and transformation of the data on a scheduled basis. Concurrently, I will optimize your Azure SQL table structures, implementing appropriate indexing and partitioning strategies. The final deliverables include the functional Data Factory pipelines, parameterised scripts for easy modification, and a concise runbook with an ER diagram for full documentation and self-service for your analytical team. 1) What is the format of the raw operational feeds (e.g., CSV in Blob Storage, JSON from an API)? 2) Which specific data transformation (e.g., pivot, aggregation, de-duplication) is the highest priority for the initial pipeline? 3) What is the required refresh frequency for the automated data ingestion (e.g., hourly, daily)? Thanks, Bharat

@jonhw5

I DON'T WANT TO FOOL MY CLIENTS. It's unreasonable to expect me to understand the entire project in a short period of time. However, this stack is the right technology for me, and I'm confident I can execute it based on my past experience. From a developer who values honesty.

@BlocKeyFi

Hi prudhvie4, I understand that you are looking for an experienced Azure Data Engineer to transform raw operational feeds into structured datasets within Azure SQL and Data Factory. My approach involves meticulously designing and building automated pipelines, optimizing table structures, and providing clear documentation for seamless self-service by analysts. Key Deliverables: - End-to-end Data Factory pipelines integrated with Azure SQL - Optimized table structures, indexes, and partitioning strategies - Parameterized scripts for easy modification - Concise runbook and ER diagram for future developers I have a strong background in Azure technologies, ensuring reliable results and professional standards throughout the project. I will provide my portfolio for your review and look forward to discussing your requirements further. Best regards, Taneem

@atesicfl

This isn’t about moving data from A to B. It’s about turning raw feeds into something your team can trust, query, and build on, and that’s how I’d treat this work in Azure. I’d take ownership end to end. First, I’d get a clear picture of the existing Azure SQL structures and the incoming feeds, then design Data Factory pipelines that ingest, cleanse, and transform on a predictable schedule. No brittle jobs, no mystery steps, just pipelines that run clean and fail loud when something’s wrong. On the database side, I’d tighten things up properly: schemas that fit the data, indexes and partitioning where they actually pay off, queries tuned for both performance and cost. The goal is fast answers without burning credits for sport. Everything would be parameterised and reusable, scripts or notebooks you can rerun, extend, or hand off without fear. And when it’s done, you won’t be left guessing. You’ll get a concise runbook, clear table definitions, and an ER diagram so analysts and future engineers can self-serve instead of circling back with questions. I’m comfortable living inside Azure SQL and Data Factory, and I’m used to owning builds from first design through deployment. If you want solid foundations instead of clever shortcuts, this will be a good fit.

@jayprakashyadav

As knowledgeable as I am in WordPress, Joomla, PHP, MYSQL, HTML5, and CSS, let me assure you that SQL is also within my wheelhouse. Thanks to my skills in the latest technologies such as Node.js, React.js, and React Native, I have become a versatile web developer who can handle complex tasks like turning raw operational feeds into reliable data sets. During my 15+ years of experience, I have completed various projects demanding a structured approach. This makes me a perfect fit for your assignment to design and build automated pipelines using Azure SQL and Data Factory. My deep understanding of the database schema will allow me to recommend the best-fit schema for your tables while optimizing their structure for improved run-time efficiency. Moreover, having worked on OPEN AI API and Auto-Generated article projects recently means that I'm well-versed in creating parameterized scripts or notebooks which can be easily rerun or modified - just one of your key deliverables. Considering these multiple strengths, I am confident that engaging me for this project guarantees an end-to-end pipeline wired to your Azure SQL instance, efficient queries, parameterized scripts for better control, along with concise documentation for relinquishing reliance on third-party developers. Let's get it done right! Thanks, Jay

@harshad6655333

Hi, I’m an experienced IT professional who loves solving problems and delivering quality results. I’d be happy to support your project, Let’s discuss Thank you! ⭐ What I Bring to the Table Cloud & DevOps: AWS, Azure, Terraform, Ansible, CI/CD, Docker, Kubernetes Web & Servers: Apache, Nginx, Linux admin Telephony & Networking: Asterisk, FreeSwitch, ViciDial, VPN setup Programming: Python, Java, PHP, Bash Data & MLOps: Python, PySpark, EMR, SQL/PostgreSQL, ECL, model deployment AI : claude, Claude Code, MCP, n8n. Monitoring: Splunk, ELK Stack I’m confident I can deliver exactly what you need. Let’s discuss further!

@janu665533

Hi, I’m an experienced data engineer with hands-on expertise in Azure SQL and Azure Data Factory, and this project aligns very well with my background. I’ve built and owned end-to-end pipelines that ingest raw operational feeds, apply data quality checks, and deliver optimized, analyst-ready datasets. I can take full ownership from design through deployment, including: Building robust, scheduled ADF pipelines with monitoring and retries Reviewing and optimizing Azure SQL schemas, indexes, and partitioning for performance and cost Writing parameterized, reusable scripts for easy reruns and extensions Producing clear documentation, ER diagrams, and a runbook so analysts and future developers can self-serve confidently I’m comfortable working directly in your existing Azure environment and can start as soon as access is granted. Happy to discuss milestones, timelines, and success criteria to ensure a smooth delivery. Thank you — I look forward to discussing this further.

@lakshmisri1982

Hi, I'm a senior data engineer with 7+ years of experience with skills python, pandas, numpy, sql, pyspark, databricks, airflow and AWS, Azure. As a dataengineer my daily activities revolve around extracting data from different sources like webpages, csv, text, excel, databases and clean, preprocess, transform and load the data to respective file formats. I understand your requirement of support for Azure Data engineer role. My experience will definitely help you. I'll help you in creating seamless ETL pipelines, where they extract data from your Azure SQL instance, and then clean and transform the data based on your business requirements, and load the data to respective tables, allowing you to apply incremental data logic where applicable. Will also parameteriz the notebooks so we can run them with dynamic data. Will create optimised table structure , with indexes and partitioning strategies where applicable. Will provide a detailed document how to run your ETL pipelines in datafactory and how can you change your schedule going forward if you want. Happy to connect and discuss about the project. Will start immediately.

@gigatorb

Hi, I’m Lav, a Senior Software Engineer with 18+ years of experience building reliable, production-grade data and automation solutions on Azure. Understanding / Solution You need raw operational feeds converted into trusted, query-ready datasets in Azure SQL, orchestrated through Azure Data Factory. I will design and own the full pipeline lifecycle—from ingestion to optimization—ensuring performance, reliability, and analyst self-service. Key Features End-to-end Azure Data Factory pipelines Optimized Azure SQL schemas, indexing, and partitioning Reusable, parameterized SQL scripts Query tuning for speed and cost efficiency Clear runbook and ER documentation Relevant Case Study At IBM (Canada), I led database upgrades and Azure-integrated data workflows, optimized schemas, executed migrations, and delivered documentation enabling teams to operate independently. Thanks Lav

@shikhajatav396

I can turn your raw operational feeds into reliable, well-structured data sets, ensuring your team has confidence in their queries. With extensive expertise in Azure SQL and Data Factory, I will design and build automated pipelines, optimize table structures, and provide clear documentation for future developers. Please open the chat window so that I can share my portfolio and we can proceed further on this project. Write the upwork proposal in 2 to 3 lines - In addition to your project needs, I'll provide you with clean source code, free bug patches, and maintenance. I am awaiting your positive response Regards, Shikha J.

@sandeeptakharkk

Hello, I’m an experienced Azure Data Engineer with 4+ years of hands-on experience building end-to-end data pipelines in Azure, from raw operational data to reliable, analytics-ready datasets. This project fits well with my background in owning delivery from design through deployment. I’ve worked extensively with Azure SQL and Azure Data Factory, designing automated, scheduled pipelines for data ingestion, cleansing, and transformation. I also have strong experience reviewing existing tables, recommending best-fit schemas, and optimizing indexes, partitioning, and queries for performance and cost efficiency. My approach will be: Review current data sources and Azure SQL structures Build parameterized, reusable ADF pipelines Optimize schemas and queries for speed and scalability Deliver clean scripts/notebooks that are easy to rerun Provide a clear runbook and ER diagram so analysts and developers can self-serve confidently I’m comfortable working independently, communicating proactively, and taking full ownership of delivery. I can start as soon as milestones and timelines are agreed. Looking forward to discussing your requirements. Best regards, Sandeep Kumar Azure Data Engineer | Azure SQL | ADF | Data Modeling

@hemantha66

I have a Strong Experience on Azure Ecosystem, from last 6 Years, i have led multiple Migration projects from On-Premise into the Azure Cloud. having 12 Years of Strong IT Experience completely into Data, i have worked on multiple roles such. as Data Architect/Modeller/Mapper/Analyst/Engineer .I specialize in the Azure stack (ADF, Azure SQL, Synapse), ensuring I follow Microsoft Best Practices for security and cost.I don’t just build "black box" solutions. My scripts are commented, and my ADF pipelines are modular.I am ready to start as soon as access is granted. Before we begin, I’d love to know: What is the approximate volume of the daily operational feeds, and what is the most common query bottleneck your analysts are currently facing?

@Yusrazubair1000

Hi Prudhvie4, Thank you for sharing the details about your project. I believe my extensive experience in data engineering, particularly with Azure SQL and Data Factory, makes me a strong fit for your needs. I have successfully completed numerous projects involving the design and implementation of automated data pipelines, and I am well-versed in creating optimized table structures and ensuring data quality. Before we move forward, I would like to clarify a few aspects: 1) Are there any specific data sources that need to be integrated, or is it solely focused on existing operational feeds? 2) What is your preferred timeline for the project milestones? 3) Are there any particular compliance or security considerations that I should be aware of while working with the data? Why Choose Me? - Over 250 large projects completed with a strong focus on data engineering. - Consistent positive feedback for over 5 years, with 5-star ratings on my last 100+ projects. - Proven ability to create detailed documentation and runbooks for future reference. Availability: I am available from 9 AM to 9 PM Eastern Time as a full-time freelancer. I am eager to discuss this project further and am happy to share examples of my recent work relevant to your needs. Best regards, Syeda Yusra Zubair

@TechWagger2026

With over a decade of experience as a Full-Stack Developer, specializing in several Microsoft technologies including Azure, SQL Server, and the entire .NET ecosystem, I believe I can bring a unique perspective and solution-oriented approach to your data engineering project. My proficiency in orchestrating Data Factory pipelines within Azure and optimizing table structures, indexes and partitioning strategies is immediately applicable to your needs. Additionally, my natural knack for generating detailed yet reader-friendly documentation will ensure seamless knowledge transfer to your analysts post-project completion. Throughout my career, I've demonstrated the ability to successfully handle complex projects from design to deployment. In this realm, I maintain proficiency in languages like Node.js, Python (including libraries for data engineering purposes), and JavaScript which put me in a strong position to meet your requirements effectively on all fronts. Furthermore, my expertise extends into mobile app development which could be an auxiliary benefit given your potential future expansion needs. The scales of impeccable time management combines with transparent communication will ensure that the deliverables are met well within both set milestones and timeline. I'm excited at the prospect of applying my skills towards bolstering your team's confidence in their data retrieval process while positioning it for effortless growth in future!

@keaganhaynes14

I am a perfect fit for your project. You need seamless, automated pipelines in Azure Data Factory that deliver clean, well-structured datasets your team can query confidently within Azure SQL. I bring extensive experience designing and building integrated data engineering solutions focused on user-friendly, professional results. While I am new to Freelancer, I have extensive real-world experience and have completed multiple projects off the platform. I’m adept at optimizing schemas, tuning queries for speed and cost efficiency, and providing clear documentation so analysts can self-serve without friction. I would love to chat more about your project! Regards, keagan

@rpotter12

Project will be containing different phases Analysis Design Scripts Development Validation ADF Development End to end testing and validation Feedback Project analysis/scripts analysis will be the crucial phase to understand the whole project and to create a meaningful solution Rest all phases will be smooth once analysis phase is completed