Shri Hari Madhav Sridharan

– Manage and query an 11.8M-row, ~6GB transactions table in AWS RDS (MariaDB), maintaining data integrity and reliability for compliance and analytics use cases. – Built and maintain 5 analytics dashboards in Metabase, giving operations and compliance teams direct visibility into platform transaction data. – Produce 11+ compliance reports on a recurring schedule, translating regulatory requirements into reliable, repeatable SQL workflows. – Triaged 697K+ alert records, improving signal quality in the monitoring pipeline and tightening incident response processes. – Proposed and presented a self-initiated Python to S3 to dbt to Metabase pipeline to the CTO as an architecture improvement, targeting better modularity and lower analytics overhead. – Implemented PII redaction in AWS CloudWatch logs, strengthening data governance and security posture across the platform.

– Supported 100+ students across Al and software engineering labs; produced lab documentation and gathered requirements for session delivery and course tooling.

– Built and maintained ETL/ELT pipelines processing 40GB+ of data daily from 150+ sources, using AWS S3, Lambda, and Glue for ingestion, transformation, and loading. – Designed PySpark-based processing workflows for large-scale transformation tasks, working with distributed data across structured and semi-structured formats. – Orchestrated pipelines with Apache Airflow, handling scheduling, reruns, backfills, and job monitoring for production workloads across multiple clients. – Integrated data from REST APIs and external sources including MySQL and MongoDB, normalising and loading into Snowflake to serve analytics and ML use cases. – Applied Great Expectations at ingestion to enforce data quality and integrity checks, reducing downstream data reliability failures across client pipelines.