Pavan Sharma

Design and develop Core Platform services using Java (VertX), Python (Airflow) and TypeScript (ExpressJS)

Build generic data platform which can run spark jobs on various clouds (Azure Databricks, Google Dataproc, AWS EMR, Spark on K8S), Used by data ingestion and data transformation teams

Improved existing orchestrator service built using Python and Apache Airflow by upgrading to production grade airflow2x and new feature deferrable operators which improved execution timings while solving number of issues

Built RestAPIs using expressJS, Contributed in moving infoworks services from vm to K8S based deployment

Identified and fixed issues in couple of open source projects majorly in Apache Airflow

Built connectors for different systems (E.g. Salesforce, Dynamics) to bring data from different data sources in Gainsight

Break down existing monolith architecture into maintainable microservices and improve performance

Cleanup and optimize existing code to improve efficiency and readability, Doing peer code reviews

Implemented automated sandbox refresh functionality which reduced monthly 30 support tickets

Built RESTful APIs that served data to KyePot mobile app using spring boot and microservices architecture

Built Web app "ZK Data Collection Service" using Java JSF and Primefaces which served as middleware between ZKTeco time tracking devices and Workday workforce management solution

Learned proprietary PUSH protocol used by ZKTeco time tracking biometric devices to transfer data from middleware and Workday.