Sai Sree User

I’m a Data Engineer with 5 years of experience building scalable data pipelines, ETL/ELT workflows, and cloud-based data solutions, with the strongest focus on Azure.

In my current role at Emigrant Bank, I design and maintain end-to-end ETL pipelines using Azure Data Factory (ADF) and orchestrate workflows with Azure Functions and supporting services. I also build real-time streaming pipelines using Apache Kafka and Spark Structured Streaming to ingest from Azure Event Hubs into downstream targets.

I’ve developed PySpark transformation jobs in Azure to extract, cleanse, and load data into Snowflake and Azure Data Lake Storage (ADLS), while enforcing data quality checks, masking, and encryption for secure and compliant processing. I’ve also led a large one-time migration from on-premise Oracle to Azure SQL Data Warehouse, including star schema design, data profiling, and validation frameworks.

Previously, at Tenet Healthcare, I delivered Python and PySpark pipelines across an enterprise data warehouse, automated ingestion with Apache Airflow DAGs, and optimized complex SQL for performance at scale. Earlier, at iConcept Software Services Pvt. Ltd., I built ADF pipelines to move data into Azure Data Lake and Azure SQL and supported BI refreshes via Tableau through Python/API scripts, working within Agile processes and CI/CD with Git and Jenkins.