May 2023 – Sep 2024 · 1 yr 4 mos · San Francisco Bay Area · Remote

• Senior Data Engineer | Tredence Inc. | May 2023 - September 2024
• San Francisco Bay Area
• Worked with enterprise clients like Walmart and Marriott, delivering data infrastructure solutions that drove measurable business outcomes.
• Reduced property onboarding time from 6 months to 6 weeks, enabling $50M+ incremental annual revenue
• Implemented distributed ETL pipelines processing 5TB+ daily across 4,500+ stores, powering $500M+ inventory decisions
• Reduced data pipeline latency from 4 hours to 45 minutes (70% improvement), enabling same-day decision-making
• Architected cloud migration from legacy systems to AWS/GCP, reducing infrastructure costs by 30% ($2.4M annual savings)
• Developed SQL optimizations cutting query execution times by 60%, delivering insights 3x faster to analysts
• Built anomaly detection models reducing data incidents by 70%, preventing $2M+ in potential losses
• Established DBT-based transformation framework improving data accuracy to 99.9%
• Mentored 5 junior engineers resulting in 3 promotions and 40% improvement in team delivery speed
• Technologies: Spark, Airflow, Python, SQL, Snowflake, AWS, GCP, DBT, Terraform, Tableau

May 2020 – Mar 2023 · 2 yrs 10 mos · San Francisco Bay Area

• Built analytics infrastructure across Reality Labs, Facebook Marketplace, and Consumer Connectivity serving 2+ billion users.
• Designed petabyte-scale ETL pipelines processing 10B+ daily events across Reality Labs VR/AR platforms (Meta Quest)
• Built real-time analytics enabling product teams to measure VR session quality, feature adoption, and content performance
• Partnered with ML teams deploying recommendation pipelines improving content discovery by 25%, increasing VR session time by 18 minutes per user
• Architected funnel analytics tracking 1B+ monthly Marketplace users across search, discovery, messaging, and transactions
• Built datasets powering 100+ concurrent A/B experiments testing listing quality, search ranking, and buyer-seller matching
• Developed audience segmentation models for Consumer Connectivity powering re-engagement campaigns that increased DAU by 3% (60M+ additional daily users)
• Reduced compute costs by 50% ($4M+ annual savings) through intelligent query optimization and resource management
• Optimized dashboard latency by 5x (30 min to 6 min), enabling same-day strategic decisions for product leadership
• Built real-time monitoring detecting anomalies across transaction pipelines, preventing $10M+ in potential GMV loss
• Created automated validation frameworks reducing data quality incidents by 90%, ensuring reliability for 500+ internal teams
• Orchestrated 5,000+ daily Airflow jobs with 99.9% reliability and zero-downtime deployments
• Pioneered metadata management improving data discoverability for 200+ teams, reducing time-to-insight by 60%
• Automated 80% of manual validation work, freeing 40+ analyst hours weekly
• Technologies: Spark, Presto, Hive, Airflow, Dataswarm, Python, SQL, Druid, Tableau, Looker

Sep 2018 – Aug 2020 · 1 yr 11 mos · San Francisco Bay Area

• Data Analyst | Meta | Sep 2018 - Aug 2020
• San Francisco Bay Area
• Built analytics foundations and experimentation frameworks supporting product decisions across Meta's platforms.
• Built Tableau/Unidash dashboards surfacing insights that drove product decisions affecting 100M+ users across Reality Labs and Marketplace
• Conducted SQL analysis identifying $5M+ revenue optimization opportunities in ad serving and monetization systems
• Designed A/B testing frameworks measuring impact across 50+ product features, establishing experimentation methodology adopted across Product and Marketing teams
• Optimized database structures improving query efficiency by 5x (30 min to 6 min), enabling analysts to deliver insights same-day instead of next-week
• Automated 90% of manual reporting pipelines, freeing 20+ hours weekly for strategic analysis instead of data extraction
• Led Python-based automation eliminating repetitive tasks, increasing team productivity by 40%
• Built robust data validation pipelines ensuring 99%+ accuracy across 200+ business-critical metrics used by leadership
• Presented data-driven insights to VP-level leadership influencing quarterly product roadmaps and resource allocation decisions
• Designed funnel analytics tracking user journeys from acquisition through retention, identifying drop-off points that informed product improvements increasing conversion by 12%
• Created statistical frameworks for trend analysis and anomaly detection, catching data quality issues before they impacted business decisions
• Technologies: SQL, Python, Tableau, Unidash, Hive, Presto, Airflow, Jupyter (Bento)

May 2014 – May 2016 · 2 yrs · India · Hybrid

• Test Automation Engineer | Tech Mahindra | May 2014 - May 2016
• India
• Built automation frameworks and quality assurance systems for enterprise applications.
• Developed full-stack test automation frameworks reducing regression testing time by 70%, accelerating release cycles
• Built CI/CD integrations streamlining deployment processes and improving release efficiency by 50%
• Led API testing strategies ensuring system robustness across microservices architecture handling millions of transactions
• Collaborated with developers catching 90% more critical bugs before production release, reducing post-deployment incidents
• Optimized performance testing workflows enabling systems to scale and handle millions of concurrent transactions
• Trained QA teams on automation best practices improving overall software quality and team productivity by 40%
• Automated test case generation reducing manual testing effort by 60% and accelerating testing cycles
• Enhanced bug tracking workflows reducing resolution times by 35% and improving software reliability