Aug 2025 – Sep 2025 · 1 mo · Bengaluru, Karnataka, India · Hybrid

Apr 2025 – Aug 2025 · 4 mos · Bengaluru, Karnataka, India · Hybrid

Apr 2024 – Apr 2025 · 1 yr · Pune, Maharashtra, India · Hybrid

• Client: Fortune 500 company which stands as a global leader in the financial services industry
• Developing, managing and supporting the platform that generate trade data for 10000+ external clients including Ultra-High-Net-Worth (UHNW) individuals with a net worth exceeding $30 million, ensuring diverse feed delivery within SLA time.
• Contributed to integrating a client and newly acquired electronic trading platform. Executed Comet setup, established test data, conducted PROD connectivity testing, finalized converted accounts for the acquired firm, and validated feeds for all clients/vendors involved.
• Actively involved in the migration of jobs, data and all customers from Mainframe to Datalake infrastructure
• My day-to-day responsibilities:
• 1. Responsible for building scalable distributed data solutions using Big data technologies.
• 2. Developed and orchestrated 10+ Hadoop and Pyspark jobs through TWS scheduler, ensuring seamless dependencies and data processing.
• 3. Designed and developed analytical reports using complex Spark transformations and Spark SQL, improving data accessibility for operations teams and enhancing decision-making efficiency by 20%.
• 4. Dumping data into tables in Hive involves utilizing HDFS for storage and harnessing SQL to generate reports or uncovering information on an ADHOC basis to meet business requirements.
• 4. Co-ordinating with multiple teams, ensuring issue resolution to closure.
• 5. Used Bitbucket for version control and TeamCity for building and deploying configurations.
• 6. Involved in gathering requirements, designing, development, and testing.
• 7. Created Reconciliation Framework for Data Processing.
• 8. Addressing client's customer queries and ensuring prompt resolution.
• 9. Root cause analysis for production issues/defects.
• 10. Implementing logging mechanisms.
• 11. Scheduled IBM TWS jobs and provided platform support.
• 12. Managing a team, boosting productivity with agile workflows, technical guidance, and regular feedback.

Apr 2023 – Mar 2024 · 11 mos · Pune, Maharashtra, India · Hybrid

Aug 2021 – Mar 2023 · 1 yr 7 mos · Pune, Maharashtra, India · Hybrid

• Completed training in Azure, Python, SQL and Data Warehouse

Apr 2020 – Jun 2020 · 2 mos · Remote

• Contribute in analyzing and performing image processing on the License plate using OpenCV
• Contribute in segmenting the alphanumeric characters from the license plate
• Implement CNN model in keras to recognize the characters from the license plate

May 2019 – Aug 2019 · 3 mos

• The Secure and Private AI Scholarship Challenge by Udacity and Facebook highlights the importance of security and privacy in a world that is quickly pacing towards AI.