Shinoy Shaji

•Act as data engineer and tech lead for both user and technical stories. •Responsible for design, development, detailed design specifications, and long term project planning, including release activities and production deployments. •Developed Spark jobs to process millions of equipment-related data, orchestrated through Oozie on AWS EMR. •Designed and optimized Hive and Snowflake queries, and built Snowpipes for automated data ingestion from various sources.

•Played a key role in developing the training data for AWS CodeWhisperer and Bedrock. •Evaluated the accuracy of the results from the AI model and provided feedback for the RLHF training of the AI model. •Mentored new graduate developers, helping them complete their first user stories and integrate into the team. •Designed and built the Code Whisperer Service, collaborating with product managers, implementing core features, and setting up a CI/CD pipeline for smooth deployment and ongoing support.

•Performed analysis, development, configuration, testing, and debugging of applications, scripts, and stored procedures, ensuring compliance with department standards. •Ensured client satisfaction by addressing support requests, troubleshooting issues, and escalating when needed to resolve problems. •Documented client suggestions and provided workaround solutions for issues in Finastra Core solutions, ensuring key stakeholders were kept informed.

•Experienced in product performance analysis, design, and development using Java, along with product support activities. •Created a database operations module using NiFi, compatible with various database drivers. •Contributed to the design and development of the processing layer for Xelerate, SunTec's convergent billing solution for transaction-based businesses. •Part of the Quick Response Team for critical projects, providing issue analysis, client support, and delivering Java solutions to meet deadlines.