Supratik Chakraborty

Architected multi-cloud data platforms (Azure, AWS, GCP), engineering ingestion and transformations with Synapse/ADF, Databricks, AWS Glue, and BigQuery. Established medallion architecture with Delta Lake and Unity Catalog on ADLS2, elevating governance and reusable data products. Standardized orchestration via Apache Airflow, decoupling workloads from Synapse; automated Spark job registration using Azure CLI wrappers. Built end-to-end CI/CD pipelines with GitHub Actions and Azure DevOps; containerized local development using Docker and shipped Python libraries through JFrog (Poetry/PyPI), reducing release cycles by more than 50%. Enhanced resilience with fault-tolerant designs, Python Function Apps, and Logic Apps for alerting, improving SLA adherence to more than 50%. Advanced BI by modernizing Power BI and Tableau assets; enabled self-service insights, cutting time-to-decision by more than 50%. Authored HLD/LLD using data modeling best practices; templatized Synapse artifacts with configuration-driven parameters to boost maintainability by 100%. Integrated SharePoint via SMB to ADLS2 and standardized Delta tables with Serverless SQL distribution; partnered with CloudOps to institutionalize Airflow. Delivered proofs of concept with Microsoft Fabric and integrated GCS into the ingestion framework; designed an AWS stack (S3, Glue, Lambda, Kinesis, Athena/Redshift, IAM) to scale to 2 million records/day. Planned initiatives, refined estimates, and supported BAU, reducing incident MTTR by more than 50%.

Delivered end-to-end ETL and streaming workloads using PySpark/Scala across Hadoop and Azure; integrated ADF/Synapse and Databricks with ADLS2 and Unity Catalog. Migrated legacy feeds to ADLS2 + Synapse using medallion layering for analytics and visualization, hardening data reliability. Engineered enterprise data warehousing on Teradata via Informatica and Unix schedulers (Autosys/Control-M/Unix scripts) and DMXpress, reducing batch duration by 25%. Produced conceptual/logical data models with Erwin; enforced coding standards and reusable modules, lowering defect leakage by 10%. Mentored and led agile squads, improved planning and delivery predictability, increasing team velocity by 20%. Automated operational runbooks using Python/Shell and improved monitoring via ServiceNow, enhancing SLA compliance to 60%. Built RPA solutions with OpenSpan and delivered BI using Business Objects to remove manual steps and elevate reporting adoption.