• Working on Alation Data Catalog SQL Editor, Compose.

• Implementing new features, bug fixes to enhance, optimize Compose based on the user feedback for Compose applications using Python(Django), React (Typescript), Java

• Following Test Driven Development approach using unit test frameworks UnitTest, Pytest in Python, Jest in React

Catalog Search

• Working on data catalog search which is based on elasticsearch

• Built observability and monitoring around the feature to help troubleshoot issues

• Improved security posture and accessibilty to deployments by configuring OIDC SSO via OKTA

Drive Cloud/Secure Cloud

• bring historical knowledge of working on Compose to help the team with support escalations, bug fixes.

• helped the team analyze existing E2E tests, convert to Unit, Integration tests with AI tools, speeding up the build pipelines

• building enhancements into the product which help drive the organizations goal to migrate customers from onprem installations to Cloud deployments using Python (Django), Rust, React, Typescript

• using AI tools Claude Code, Github Copilot to improve productivity and reduce time to feature delivery

• Implement microservices for data collection, aggregation, modeling tasks of cyber data sources using Python, SQLAlchemy, EKS, Aurora Postgres

• Working on migrating models from R to Python, implementing models using PySpark running on EMR to reduce turnaround time from 10+ hrs. to 2 - 3 hrs

• Driving monthly and daily releases cycles, conducting code reviews, pair programming.

• Working with cyber datasources, implementing ETL pipelines (data ingestion, aggregation) using Python, using Postgres, Redshift, MongoDB as storage, using test driven development

• Using Jenkins to to build the pipelines, automate processes

• Worked with data capture products FineReader Engine, Flexicapture Engine, Flexicapture application

• Worked with users to help them use FineReader and Flexicapture Engine API to implement modules/projects using C++, C#, Java

• Worked with users to implement business logic / scripts to extract data using Flexicapture application

• Working on big data ETL pipeline using Big Data tools like Apache Spark, HBase using Python, Java

• Used Spark to implement ETL pipeline, stored data as parquet in S3, used SparkSql to query parquet using Python

• Implemented scripts to convert csv to parquet and vice-versa using Spark, fastparquet, pyarrow Python api

• Implemented logging framework for Hbase, Yarn using log4j, logback using Java

• Developed a continuous integration pipeline deployment using Archiva, Ansible, Maven, Jenkins