Kaushik Sinha

Core Technical Skills & Project Delivery

• Full-Stack Development: Proficient in backend development (API, testing, deployment) AND expanding frontend skills (React, Material UI, RTL testing).
• Integration Specialist: Successfully bridged systems like IDDS, PRS, VBuild, ensuring data flow and alignment with Northstar architecture.
• Security Champion: Proactively enhanced VBuild’s security posture by integrating 42Crunch, remediating Sysdig/Blackduck vulnerabilities, and standardizing email practices.
• Process Automation Advocate: Analyzed inefficient workflows (Infranchise Splitter, VBuild notifications) to identify automation opportunities, improving accuracy and efficiency.
• Problem Solver: Investigated and resolved critical issues impacting user experience and data integrity, such as Download Print timestamp errors.

Impact & Business Value

• Reduced Operational Costs: Significantly decreased support tickets (timesheet, backlog) through root cause analysis, process improvements, and knowledge transfer to support teams.
• Improved User Experience: Enhanced VBuild usability by migrating to Material UI, optimizing email notifications, and resolving UI inconsistencies.
• Increased Efficiency & Productivity: Streamlined processes, automated tasks, and implemented efficient testing strategies, resulting in faster delivery and reduced manual effort.
• Strengthened Security & Compliance: Mitigated security risks, ensured regulatory compliance, and enhanced data protection through proactive security measures.

Leadership & Collaboration

• Team Player: Collaborated effectively with cross-functional teams (IDDS, PRS, FES) to deliver complex projects and achieve shared goals.
• Proactive & Initiative-Taking: Identified areas for improvement, proposed solutions, and took ownership of driving positive change.
• Continuous Learner: Actively pursued professional development opportunities (Core Engineering certification, exploring new technologies) to enhance skills and knowledge.

• Developed and designed core components of an inventory data processing system for a major American retail chain, leveraging GCP (Google Cloud Platform) and Spring Boot.
• Engineered microservices using Spring Boot to facilitate data extraction and loading between BigQuery and Google Cloud Spanner.
• Built and deployed data pipelines using Apache Beam for real-time data processing with Google Cloud Dataflow, and utilized Google Pub/Sub for event messaging.
• Implemented REST APIs with Spring Boot, integrated Swagger for API documentation and contract generation, and connected to MySQL databases.