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I will design and build your data pipeline, etl workflow, or data integration
India
Data Analytics, Engineering and AI Solutions
About this Gig
If your data lives in five different systems and your analysts spend more time cleaning it than analyzing it, that's the problem I solve. I build production-grade pipelines that move, transform, and load your data reliably, on schedule, with proper error handling and monitoring built in.
That covers ETL/ELT pipelines (batch or real-time), API integrations pulling data from REST or GraphQL sources into your warehouse, database-to-database migrations and replication, and dbt transformation layers on top of whatever warehouse you're using.
Stack: Python, Apache Airflow, dbt, Spark, Kafka, Snowflake, BigQuery, Redshift, PostgreSQL, MySQL, AWS Glue/Lambda, GCP Pub/Sub, and Azure Data Factory, picked based on what fits your setup.
You'll get fully documented pipeline code (GitHub repo or ZIP), scheduling set to your cadence, error alerts and logging, a README covering setup and maintenance, and support getting it deployed.
Before ordering, it helps to know your source system(s), where the data should land, and roughly how much data and how often it refreshes.
FAQ
Can you work with our existing cloud infrastructure?
Yes. We work with AWS, GCP, and Azure. Share your current stack and we will design the pipeline to fit.
Do we get the full source code?
Yes, always. You receive a documented GitHub repo or a ZIP with full rights to the code.
Can you handle sensitive or PII data?
Yes. We implement encryption at rest and in transit, and can add anonymisation/masking steps. We sign NDAs on request.
What if our data volume grows after delivery?
Our pipelines are built to scale. We use chunked processing and parameterised queries that handle volume growth with no code changes.
Do you provide support after delivery?
Yes, purchase the maintenance extra, or contact us for a monthly retainer quote.
