I will build python etl pipelines, API integrations and data automation
Scalable SaaS and Web Apps, Senior MERN, Rails and DevOps Engineer
About this Gig
Are your API integrations failing, ETL jobs skipping records, or dashboards showing incomplete data?
I build and repair reliable Python ETL/ELT pipelines that move data from REST APIs, databases, CSV/Excel and cloud storage into clean, usable datasets.
What I can deliver:
API integration, pagination, OAuth and rate-limit handling
Automated ETL/ELT with Python, SQL, Pandas or Polars
Incremental sync, checkpoints, deduplication and safe upserts
Data validation, quality checks and data reconciliation
Historical data backfill, retries and failed-job recovery
Scheduling and task queues using cron, Celery/RabbitMQ or Airflow
Structured logs, failure alerts and pipeline monitoring dashboards
PostgreSQL, MySQL, MongoDB, BigQuery or Snowflake integration
Docker deployment, Pytest tests and clear documentation
Ideal for SaaS, e-commerce, IoT, finance and reporting pipelines.
I focus on recoverable, observable workflowsnot one-time scripts. Backfill depends on source API history and access limits.
Message me with your source, destination and current issue before ordering.
Tools & Platforms:
Kafka Connect
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Other
My Portfolio
FAQ
Can you fix an existing ETL pipeline?
Yes. I can review existing Python ETL scripts, investigate failed API requests, identify data-processing errors, improve database operations, and implement appropriate retry and recovery mechanisms.
Can you recover missing historical data?
Yes, provided the source API or database makes the historical records available. I can implement automated backfill workflows that identify missing periods, retrieve available records, and safely update your database.
Do you provide automatic retries and failure recovery?
Yes. Depending on your requirements, I can implement retry logic, exponential backoff, persistent job tracking, recovery queues, and task execution using Celery and RabbitMQ.
Which databases do you support?
I can work with databases such as PostgreSQL, MongoDB, and MySQL. Cloud warehouse integrations, including BigQuery and Snowflake, can also be discussed based on your project requirements.
Can I monitor my data pipelines?
Yes. I can implement execution logs, job status tracking, failure alerts, daily health reports, and custom monitoring interfaces using Python-based backend technologies.
Can you guarantee that no data will ever be lost?
No system can guarantee the availability of data held by external providers. However, I can implement reliable execution tracking, validation, retries, reconciliation, and recovery mechanisms to reduce preventable data loss and detect unresolved gaps.

