At Movate, I build Airflow ETL pipelines that ingest enterprise data from Salesforce, Oracle Fusion, Zuora, and other systems into Amazon S3.
I've designed and maintained a multi-layer Snowflake architecture spanning Stage, Base, and DMarts layers across CRM, ERP, Finance, HR, and Telecom data. By streamlining warehouse loads and optimizing data models across 50+ source tables, I helped ensure daily Tableau executive reporting with zero SLA misses.
I also monitor and debug production Airflow DAGs, using root-cause analysis to keep pipelines reliable.
In my weather data pipeline project, I used Docker, Airflow, dbt, PostgreSQL, Python, and Apache Superset to automate API ingestion, transformation, data-quality logic, and real-time dashboards.
