Headline

Lead Engineer | Java | Distributed Systems | Software Architecture | Big Data | Cloud | GCP Certified

About

I'm hands on engineering leader with 17+ years of experience building distributed systems and data platforms at scale - primarily in global banking, retail and cloud-native environments. At Deutsche Bank (AVP), I own the design and delivery of critical data infrastructure for Treasury technology. Recent highlights: · Led end-to-end migration of legacy data platforms, delivering €200K+ in annual infrastructure cost savings · Architected a data transfer solution reducing Hadoop cluster overhead by 30%, improving SLA adherence across downstream systems · Built a reusable entitlement framework adopted across 5 Treasury applications, cutting maintenance overhead by 10% · Applied AI prompt engineering to automate schema transformation discovery, cutting manual analysis effort by 50% Before that, at Datametica, I led a team migrating 2 TB of enterprise on-premise data to GCP BigQuery, rewrote 50+ Spark–Scala pipelines to BigQuery-native SQL, and owned Terraform-based IaC for cloud environment standardization. At Sears Holdings (Pune & Chicago), I served as onsite technical lead coordinating a 8-person distributed team across two geographies — bridging business stakeholders and engineering delivery across multi-quarter programs. Core strengths: · Large-scale distributed systems and data platform architecture · Java, Spring Boot, GCP (BigQuery, Dataproc, Cloud Storage), Hadoop, Spark, Hive · Cloud migration strategy (on-prem → GCP BigQuery, TB-scale) · Engineering leadership — architecture reviews, team mentorship, AI-assisted tooling adoption · Regulatory & compliance-aligned delivery (Treasury, data governance) I hold a Google Professional Cloud Architect certification.

Location

Pune Division

AI stack

gemini

github copilot

Work experience

Lead Engineer (AVP) at Deutsche Bank, Jul 2021 - Present · 5 yrs 2 mos, Pune Division, •Led full-lifecycle decommissioning and modernisation of a critical legacy data platform, delivering €200K+ in annual infrastructure cost savings and reducing operational risk. •Architected a high-throughput data transfer solution migrating ~1 TB of datasets daily, reducing Hadoop cluster overhead by 30% and improving SLA adherence across downstream Treasury systems. •Designed a configuration-driven entitlement framework in Java adopted across 5 Treasury applications and 3 engineering teams — eliminating redundant access-control logic and cutting maintenance overhead by 10%. •Applied AI prompt engineering to automate schema-level transformation discovery in regulatory reporting pipelines, reducing manual data analysis effort by 50% and improving data lineage traceability. •Championed adoption of AI-assisted development tools (Gemini Code Assist, GitHub Copilot), reducing code-review cycle time and accelerating feature delivery velocity across the team. •Governed engineering standards and led architecture review boards for cross-functional teams, improving delivery predictability and ensuring alignment with enterprise compliance and data governance mandates.

Technical Lead at Datametica Solutions Private Limited, Mar 2019 - Jul 2021 · 2 yrs 5 mos, Pune Division, •Architected and delivered end-to-end data ingestion pipelines migrating 2 TB of enterprise on-premise data to GCP BigQuery, enabling cloud-native analytics and eliminating manual reporting overhead. •Led a 5-person team in rewriting 50+ Spark–Scala pipelines to BigQuery-native SQL, improving maintainability and reducing infrastructure overhead for the client's cloud data lake. •Owned Infrastructure-as-Code strategy using Terraform — created reusable GCP modules for Cloud Storage and BigQuery, reducing new environment setup time by 40%. •Optimized distributed Spark workloads on Dataproc, tuning partitioning, join algorithms, and memory allocation to reduce peak-load execution time by 10%. •Led high-impact US onsite production cutovers, resolving critical go-live issues to ensure stable delivery of business-critical data systems.

Technical Lead at Sears Holdings India, Feb 2018 - Feb 2019 · 1 yr 1 mo, Pune Division, •Served as onsite Technical Lead in Chicago coordinating a 15-person distributed team across Pune and the US, managing sprint planning, technical risk, and executive stakeholder communication. •Designed and led development of a multi-channel pricing decision engine in Hadoop, Hive, and Apache Pig — resolving pricing conflicts across 4+ retail subsystems and eliminating significant manual reconciliation effort. •Re-engineered batch validation workflows from scheduled Control-M jobs to on-demand execution, reducing processing turnaround time by 50% and enabling business self-service. •Optimised SQL query plans and Java processing logic to handle 1 GB+ daily pricing data files with improved throughput and zero processing bottlenecks under peak load.

Software Engineer || at Sears Holdings India, Jan 2017 - Jan 2018 · 1 yr 1 mo, United States

Senior Technical Associate at Sears Holdings India, Feb 2013 - Jan 2017 · 4 yrs, Pune Division

Senior Software Engineer at VIT Infotech, Apr 2011 - Jan 2013 · 1 yr 10 mos, •Built a modular Deal Importer application in Core Java and Servlets, streamlining data onboarding and reducing manual processing effort for operations teams. •Developed a suite of 120+ JUnit test cases, improving API test coverage and contributing to a measurable reduction in recurring production defects. •Resolved high-priority production incidents with structured root-cause analysis and improving overall application uptime and customer satisfaction

Software Engineer at VIT Infotech, Aug 2008 - Mar 2011 · 2 yrs 8 mos

Education

Bachelor of Engineering (B.E.), Computer Science, university of pune