Jan 2025 – Present · 1 yr 5 mos · Pittsburgh, Pennsylvania, United States · Remote

• Led a 6‑engineer team in building a multi‑tenant data‑management platform on Snowflake, adopting a lakehouse architecture that unifies diverse source systems and cuts dashboard load times by ~40 %.
• Turned business pain points into secure, lineage‑aware data flows: blended real‑time CDC (Debezium → Kafka → Snowpipe Streaming) with scheduled batch jobs so analytics and ML models stay current.
• Provisioned Azure infrastructure - AKS clusters, Kafka brokers, Java ingestion services, entirely with Terraform and Helm, shrinking environment spin‑up from days to minutes and guaranteeing repeatable deployments.
• Enforced tenant‑level RBAC via Auth0 and Terraform‑managed Snowflake roles/schemas, passing every compliance audit without manual intervention.
• Kept quality high with Datadog dashboards, gated CI pipelines, static code analysis, peer reviews, and a living risk register, sustaining 100 % green builds and on‑schedule releases.

Jul 2021 – Jul 2024 · 3 yrs · Bengaluru, Karnataka, India · Hybrid

• Gross 2 Net Platform
• Engineered a risk scoring service (Java, Spring Boot) processing 50K+ RPS to generate dynamic return-fee scores and customer risk profiles, improving fraud-detection accuracy by 20% and driving $6M in annual savings.
• Led the search integration project to build a robust real-time streaming pipeline for orders and listings, coordinating with 5 cross-functional teams to achieve a 99% order delivery success rate.
• Automated the returns quality-control workflow by integrating an XGBoost model with a recommendation service (Java) for user actioning, automating 80% of manual reviews and improving processing consistency.
• Trust & Safety
• Restructured the graph data pipeline processing 1.5B+ daily events by optimizing Kafka partitions, scaling Cassandra for writes, and caching hot data in Aerospike, achieving 60% faster query performance and eliminating cascading failures.
• Scaled the trust & safety infrastructure to withstand 6x traffic surges during sale events by executing exhaustive load tests, setting up alerts and Grafana dashboards, and tuning service latencies to ensure 99.99% uptime.
• Spearheaded the deployment of a multi-node Hadoop cluster in a new data center using Linux scripting, Debian packaging, and CI/CD, improving scalability and boosting data-read throughput by 25%.
• Enhanced Apache Camel batch job workflows in Scala and Spark for order and returns data processing by implementing resource tuning and controlled parallelism, reducing run time by 50%.
• Mentored and onboarded 7 junior engineers, formalizing documentation and code-review processes to reduce ramp-up time by 30% and improve overall delivery velocity.

Jun 2021 – Jul 2021 · 1 mo · Noida, Uttar Pradesh, India · Remote

Jan 2021 – Jun 2021 · 5 mos · Noida, Uttar Pradesh, India · Remote

• Delivered a React-based interface for bulk campaign data ingestion, trimming setup time by 40%.
• Revamped user-based segmentation for KPI visualization, boosting click-through rates by 20%.

Jun 2020 – May 2021 · 11 mos

Jun 2020 – May 2021 · 11 mos

Jun 2020 – Sep 2020 · 3 mos · Ranchi, Jharkhand, India

• 1. Was a part of the Salesforce learning team
• 2. Worked on developing a mobile app for facilitating medical appointments' scheduling

May 2020 – Jun 2020 · 1 mo · Indore, Madhya Pradesh, India

• Developed a Chatbot for scheduling appointments.