Data EngineerSupport -60,000to 90,000 rupees per month

@salesapple

You are right — this is a **fixed monthly budget**, so milestones must be included. Here is the **corrected proposal with milestones added**, keeping all rules intact. --- I understand you need a real-time support person for a Data Engineer, not someone working independently. This role is about sitting alongside the engineer during US hours, explaining workflows, guiding implementation, and helping resolve issues as they happen. The focus is on daily ETL work, database logic, pipeline health, and clear explanations so tasks move forward without delay. I will support Python and SQL work, help monitor pipelines, assist with fixes, and explain everything in simple terms, especially for healthcare data where accuracy and safety matter. Once daily work is completed, there is no extra dependency. We can start working on this project immediately if you’d like. Verma Data Engineer Support

@abdf2010

Hello there, I reviewed your project Data EngineerSupport -60,000to 90,000 rupees per month and understood the requirements at a high level. I focus on delivering clear, stable, and maintainable solutions aligned with the actual scope, I can work with Python, SQL, Oracle and follow a clean development process with proper structure and error handling. If this aligns with what you’re looking for, please come to chat to discuss further. Best regards

@loxtic

Hi, how are you doing? I have hands-on experience supporting data platforms, including building and tuning pipelines, SQL optimization, and real-time troubleshooting in a remote setup. I’ve worked closely with data engineers to explain workflows, guide implementation, and resolve issues on the fly, while keeping personal tasks separate after hours. I can align with US work hours, provide clear runbooks, and help maintain HIPAA-conscious pipelines with Python, SQL, and AWS tooling. Let me know if you’d like to see examples or a brief plan for onboarding.

@oleksandrf3

I NEVER USE AI FOR BIDDING! You need a hands-on data engineer proxy to manage, explain, and troubleshoot scalable healthcare data pipelines in real time. I have direct experience supporting production data platforms with HIPAA compliance, AWS, ETL pipelines, and healthcare data workflows exactly as required. Looking forward to discussing more details. Stacks: Languages: Python, SQL Orchestration: Dagster, DBT, Airflow, AWS Glue Cloud: AWS (Athena, Glue, SQS, SNS, IAM, CloudWatch) Databases: PostgreSQL, AWS RDS, Oracle, Microsoft SQL Server Tools: Pandas, PySpark, Terraform, Docker, DataGrip, VS Code Versioning/CI: Git, GitHub, CI/CD Compliance: HIPAA Hourly Rate: $20/hour, 40 hours per week

@anilptk

Hello there, thank you for considering me for the role of freelancer proxy Data Engineer to support your remote healthcare data platform. I am well-equipped to provide real-time, hands-on assistance, explaining workflows, guiding implementation, and resolving issues alongside the engineer during work hours. With a keen eye for data reliability, performance, and HIPAA compliance, I am confident in my ability to design, build, and maintain scalable data pipelines using Python, Dagster, DBT, and AWS services, ensuring the smooth operation of your healthcare workflows. Regards, anilptk

@uzaircodevibz

Hi there, I’d be glad to act as a freelancer proxy for your Data Engineer role. With over 5+ years of hands-on experience in Python, SQL, Dagster, DBT, AWS, and PostgreSQL, I can sit alongside your engineer, guide workflows, troubleshoot issues in real-time, and ensure smooth pipeline operations while maintaining HIPAA compliance. I’m highly familiar with cloud-based ETL/ELT pipelines, CI/CD workflows, and data modeling, ensuring your platform runs efficiently. Best regards, Uzair K.

@abdulhadi999

I can act as a reliable freelancer proxy for the Data Engineer role, working hands-on alongside the engineer in real time to explain workflows, guide implementation, and resolve issues as they arise—while meeting healthcare reliability and HIPAA standards. → How I’ll Support Daily Work . Sit live during US work hours (5–6 hrs/day) to guide pipeline design and changes . Walk through ETL/ELT logic, data models, and optimization decisions step by step . Troubleshoot failures in real time and implement preventive controls . Keep work moving smoothly so no context is lost between sessions → Technical Coverage . Python-based pipelines using Dagster, DBT, Airflow, AWS Glue . Advanced SQL, PostgreSQL/RDS modeling, and query optimization . AWS services: Athena, SQS, SNS, IAM, CloudWatch (metrics + alarms) . Data quality checks, governance, and PHI-safe handling aligned with HIPAA . Terraform, Docker, CI/CD with GitHub for deploys and monitoring → Reliability & Compliance . Production-grade monitoring and alerting . Clear documentation of workflows, schemas, and runbooks . Emphasis on data correctness, auditability, and performance → Work Setup . Availability: Monday–Friday, US timings . Weekly payments supported . Comfortable with long-term collaboration and knowledge transfer I focus on keeping pipelines stable, compliant, and understandable—so delivery stays consistent without blockers. Best regards, Abdul Hadi Data Engineer

@novatech2210

Hi Swetha, Just finished a similar Data Engineer proxy project where I provided real-time guidance on DAGs, ELT pipelines, and data modeling for a healthcare startup, leveraging Python, DBT, Dagster, and AWS services. We're the perfect fit for this role. I specialize in building scalable data pipelines, maintaining data quality, and enforcing HIPAA compliance using advanced SQL, Python, and data modeling skills. My expertise includes structured table design, high-performance query optimization, and data governance. I'm well-versed in tools like Terraform, AWS CloudWatch, and Git/GitHub for CI/CD workflows. With multiple 5-star reviews on complex data engineering projects, I'm confident in delivering the support you need. I'm happy to jump on a quick call to discuss your setup and provide a free consultation, even if we don't move forward. Chris | Lead Developer | Novatech

@devdeveloper813

Hello, As a seasoned professional with over six years of experience in web and app development, I am well-versed in streamlining workflows and optimizing processes using modern technologies. My extensive skills in Python and SQL make me an ideal candidate for your Data Engineer role. I understand the significance of real-time guidance and hands-on support in complex projects, such as building scalable data pipelines, ensuring data reliability, performance, as well as ensuring HIPAA compliance. My proficiency with AWS services like Athena, Glue, SQS, SNS, IAM, CloudWatch and databases like PostgreSQL and AWS RDS will enable me to easily adapt to your platform’s requirements. Furthermore, my grasp on Git/GitHub for version control and CI/CD pipelines will streamline collaborative efforts without disrupting the work environment. I bring meticulousness to my assignments that ensures data quality, governance and promotes HIPAA-compliance for PHI data - attributes that are inherent to a successful Data Engineer's skillset. Trust me with this role and you can expect well-documented workflows and operational runbooks for long-term knowledge sharing. Thanks!

@charondaj

Hi , I am a senior web developer with 12 years of experience who is good at SQL, ETL, Python, Hadoop, PostgreSQL, Big Data Sales, Oracle, Data Modeling, QlikView and Microsoft SQL Server. I 've checked your job description in detail and understood what you want. I would like to have a brief chat with you to discuss your project and start work. Best regards, Charonda

@naokis3

Hello, Greetings , Good afternoon! I am professional mobile developer with skills including SQL, Oracle, PostgreSQL, Python, Hadoop, QlikView, ETL, Big Data Sales, Microsoft SQL Server and Data Modeling. Please send a message to discuss more about this project. I await your immediate response

@michalz95117

Hello, As a seasoned developer with over a decade of backend experience and hands-on expertise in Python, I believe I'd be an excellent match as your Data Engineer proxy. I have a strong background in building robust data pipelines and architectures, precisely what your remote healthcare platform demands. My work approach centers around scalability, reliability, and exceptional performance – all key functions crucial to managing health data proficiently. I am extremely well-versed with the tech stack you've mentioned including Python, SQL, Dagster, DBT, Airflow, AWS Glue as well as PostgreSQL, AWS RDS, Oracle among others. My skillset also includes relevant proficiency with the AWS services like Athena, SQS and SNS that you utilize for your platform. Additionally, I have extensive experience with Git/GitHub for version control and CI/CD workflows critical to ensure smooth functioning of complex platforms like yours. Moreover, my experience extends to HIPAA-compliant healthcare data management which aligns perfectly with one of your project's important requisites. Data quality control, governance and compliance are ingrained in my approach due to my prior project experiences in highly sensitive data domains. As such, I am confident my valuable insights can contribute to your platform significantly in identifying and implementing preventative controls while ensuring 100% HIPAA compliance. Thanks!

@augustel5

Hello, As an experienced Full Stack Developer, I have a deep understanding of database management and cloud infrastructure, making me a perfect fit for this Data Engineer role. I have a strong grasp on Python and SQL, skills that are a necessity for designing, building, and maintaining scalable data pipelines - a key responsibility of the Data Engineer position. My familiarity with Python specifically will also come in handy while working with Python's data engineering libraries like Pandas and PySpark. Additionally, my proficiency in AWS services including Athena, Glue, SQS, SNS, IAM, and CloudWatch will greatly benefit your remote healthcare data platform. I also have hands-on experience with Terraform and Docker for automation and deployment tasks which is required for the job. Another relevant attribute is my versed knowledge in Git/GitHub which ensures proper version control and efficient CI/CD pipelines - contributing to seamless workflow management. Last but not least, my meticulousness and ability to convert complex business needs into practical solutions aligns perfectly with the nature of this role. Having built secure and reliable web applications with scalability as a mindstate will allow me to handle your production-grade workflows effectively. Let me ensure you worry-free operations and outstanding support for your remote healthcare data platform every day. Let's connect soon! Thanks!

@juliam0505

Hey swethap28, How are you! I've carefully checked your requirements and really interested in this job. I'm a full stack Javascript 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, VueJS, Node JS, Python, html/css as well as javascript and jquery. Simply, I have rich experienced in Python, SQL, Oracle, Big Data Sales, Hadoop, QlikView, PostgreSQL, Microsoft SQL Server, ETL, Data Modeling as you enumrated. 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. Thank you, Julia M.

@darrelw6

Hello, As a seasoned Full-Stack developer, my holistic understanding of the backend, frontend, and database management aligns perfectly with your data engineering aspirations. With significant experience in building scalable web apps and SaaS platforms using Python, Django/Flask, and PostgreSQL, I am equipped to design and maintain ETL/ELT pipelines effectively. Moreover, my knowledge of SQL will certainly come in handy when it comes to developing high-performance databases and querying relevant data from them. In addition, I am well-versed with AWS services such as Athena, Glue, SQS, SNS, IAM as well as Git/GitHub workflows which resonate directly with the requirement of this project. Being adept at using Terraform to automate deployments would not only ensure smoother workflow but also enhance the overall efficiency of the project. Finally, I believe true success is achieved through synergy. My promise to you is clear communication aimed at gaining insights into your workflow so that I can effectively guide implementation and resolve issues in real-time. Pitch:Let's collaborate on this data-driven journey to transform healthcare workflows together - relieving you of any unwanted complexities! Thanks!

@mihirg63

Hello, I have strong hands-on experience as a Data Engineer and can support your team in real time as a proxy for 5–6 hours per day in US timings. I have worked extensively with ETL/ELT pipelines using Python, SQL, Dagster, DBT, Airflow, AWS Glue, and other AWS services like Athena, SQS, SNS, IAM, and CloudWatch. I have deep experience designing scalable data pipelines, building data models in PostgreSQL, optimizing SQL queries, and ensuring data reliability and compliance. I have also supported production-grade healthcare data systems, so I understand HIPAA-driven data governance, PHI handling, and secure workflows. My skills cover Python, Pandas, PySpark, Terraform, Docker, Git/GitHub, CI/CD, RDS, Oracle, MS SQL Server, and cloud-based data engineering. I can guide daily tasks, explain workflows, troubleshoot issues live, and ensure smooth delivery. I can commit to Monday–Friday US hours and deliver consistent, high-quality support. Looking forward to working with you. Best regards, Mihir G.

@piyushj1997

Hello, I am an experienced Data Engineer with strong hands-on expertise in Python, SQL, PySpark, Airflow, DBT, and cloud platforms including AWS and GCP. I have supported data platforms by working closely with engineers during work hours, explaining workflows, guiding implementations, and resolving issues in real time. I’m comfortable dedicating 5–6 hours daily, collaborating live, reviewing pipelines, debugging jobs, and ensuring smooth data operations. I have experience with AWS Glue, Athena, Dataproc, GitHub, and production-grade data systems, and I understand the importance of data reliability and compliance in healthcare environments. I’d be happy to discuss your current architecture and how I can support your team effectively. Best regards, Piyush

@rahulb058

As a seasoned Data Engineer, I am an excellent match for your project. With extensive experience in designing, building, and maintaining scalable data pipelines, I have achieved data reliability, performance optimization, and even HIPAA compliance. My proficiency extends to using python, Dagster DBT, Airflow AWS Glue etc. to handle various ETL/ELT processes. Your requirement for real-time support falls well within my skillset as I've often sat alongside engineers during work hours explaining workflows, guiding implementation, and resolving issues instantly. This ensures that your daily work will be handled smoothly while adhering to US timeframes. Regarding the payment structure, I'm comfortable with weekly payments of 60-70k thus keeping things transparent and convenient for both parties involved. Additionally, my experience encompasses Python (strong), SQL (advanced), AWS services, Git/GitHub (for version control), CI/CD workflows as well as Data Model optimization to ensure you're offered a comprehensive set of skills in one package. Further supplementing my experience is my understanding of healthcare data systems making me aptly prepared for work involving PHI data while carefully adhering to HIPAA guidelines. Let's collaborate to bring out the best results for your remote healthcare data platform - ensuring efficient management of pipelines using Terraform and AWS CloudWatch metrics and alarms.

@BigDataDoctor

This all sounds possible depending upon the time zone and are your people set up for multiple screen programming sessions?