Headline

Data Engineer at 6sense | Ex- SWE @Walmart |Ex-intern @ AMEX, UHG | IGDTU’22

Location

Bengaluru

AI stack

claude code

claude

gemini

notion

windsurf

Microsoft Copilot

Work experience

Software Engineer - Data at 6sense, Jul 2025 - Present · 1 y 3 mo, Bengaluru (remote), Contact Enrichment: Contact Enrichment finds, validates, and ingests the best contact information (emails/phones) for profiles using multiple vendors while ensuring quality, compliance, and scalability • Built and owned a cost-optimized 21-vendor enrichment platform, dynamically cascading requests based on cost, reliability, and availability; supported Async APIs, Sync APIs, S3 file drops, and Bulk APIs, processing 50M+ records/day with 100% fulfillment of email and phone enrichment requests. • Designed and shipped an in-house email prediction enrichment in partnership with Data Science, handling 30% of enrichment volume and eliminating approximately $200K/month in third-party vendor spend. • Extended and owned the enrichment orchestration framework across multiple vendor/product integrations and served as the L1 production owner; improved MTTR from 8 hours to 2 hours while maintaining ~90% platform uptime. • Architected a three-tier medallion architecture ( Bronze/Silver/Gold )phone enrichment pipeline processing 30M+ phone records/day, incorporating normalization, deduplication, validation, and privacy enforcement to deliver production-ready contact data. • Re-engineered legacy email sourcing into a validated enrichment waterfall, introducing deliverability checks and rule-based data quality controls ; reduced bad data reaching customers by 70% across 20M+ records/day. • Built funnel-drop monitoring and alerting across enrichment families and vendors, with configurable 5–20% drop-off thresholds and aggregated health metrics, enabling rapid detection and diagnosis of vendor and pipeline degradation. • Designed end-to-end contact-level lineage traceability across the enrichment lifecycle, tracking every contact from vendor attempt → hit/miss→ enrichment stages → ingestion → S2 sync outcome in a centralized trace storage • Currently designing a closed-loop email quality and privacy feedback system that ingested SendGrid delivery and engagement signals (bounces, spam reports, opens, clicks, unsubscribes) and fed them back into the contact data platform; established continuous quality scoring and feedback mechanisms to identify degraded emails and prevent stale grades from persisting. People Redux: People Redux is a people data platform that ingests, cleans, enriches, and maintains high-quality people profiles at scale through a streaming architecture • Contributed to the implementation of a real-time Flink → Apache Iceberg pipeline processing 200M+ person updates/day across inserts, updates, and deletes; replaced 3-day batch processing with ~6-hour data freshness through stateful deduplication • Architected a two-layer Guava L1 + Aerospike L2 caching strategy for people data serving, handling 20M+ reads/day and serving 50% of traffic directly from the in-process cache • Built a composite emitter that reconciled data from 4 upstream sources into a unified people profile, establishing a consistent source of truth and simplifying downstream consumption.

Software Engineer-III (Data) at Walmart Global Tech India, Aug 2024 - Jun 2025 · 10 mo, Bengaluru, Karnataka, India, Team : Data Ventures - scintilla Scintilla : Scintilla transforms Walmart’s customer, brand, and product insights into actionable ad-tech recommendations, helping suppliers identify the right audiences and advertising opportunities. • Built and performance-tuned high-throughput ETL pipelines and Spark applications processing TB-scale transaction data, improving resource efficiency and reducing computation time by 2.5 hours. • Built OLAP system encompassing Brand Loyalty and Price Sensitivity segmentation models, along with Customer Value, Shopper Loyalty, Brand Growth, Market Penetration, Transaction Volume, and Seasonal Shopper Segmentation metrics across multiple grains. • Optimized cloud storage and compute clusters,also leveraged serverless Spark batch jobs to build scalable, cost-efficient pipelines and achieve ~15% cost reduction. • Improved pipeline reliability and security by implementing functional/business data quality checks, policy engine configurations, vulnerability fixes • Automated CI/CD deployment and integration workflows and collaborated cross-functionally with upstream and downstream teams to ensure accurate and reliable data delivery.

Software Engineer-II (Data) at Walmart Global Tech India, Jul 2022 - Aug 2024 · 2 yrs 2 mos, Bengaluru, Karnataka, India, Team : Data Ventures - Insights Activation

Technology Analyst Intern(software engineering) at American Express, Jan 2022 - Jun 2022 · 6 mos, Gurugram, Haryana, India, • Contributed to the engineering of account creation processes for onboarding new users to AMEX’s card products. • Assisted in implementing updates to BIN logic • Supported product migration efforts across multiple countries.

Analyst Intern at Optum, Jun 2021 - Jul 2021 · 2 mos, Hyderabad, Telangana, India, Worked on a GAIT analysis app that estimates severity and provides recommendations for improvement progress.

Education

Bachelor of Technology - B.Tech, Information Technology, Indira Gandhi Delhi Technical University for Women