6,200 followers
I am a results-driven Data Engineer with significant experience at TikTok and Microsoft, where I've leveraged my expertise in SQL, Python, Spark, and big data technologies to solve complex problems and drive business growth. My work spans developing scalable data warehouses, enhancing data processing efficiencies, and ensuring compliance with global data privacy laws, notably contributing to product improvements and regulatory adherence. Holding a Master's in Computer Science with a specialization in Data Science, I am passionate about turning data into actionable insights and strategic decisions. My achievements include boosting product adoption rates, dramatically reducing data processing latencies, and implementing innovative data solutions that support business objectives and compliance requirements. I'm enthusiastic about exploring new challenges in data engineering and analytics, aiming to use my skills to contribute to impactful projects and continuous improvement within forward-thinking teams.
Founded & Building AI transformation for a stealth startup in the transportation and logistics industry.
•Built and deployed a proactive intelligence agent that monitors every user action in Supabase in real-time, distinguishes signal from noise across thousands of events, and auto-surfaces actionable bug alerts via Telegram — resolving 150+ critical issues within a 12-hour SLA in the first 3 weeks of launch, directly improving platform reliability and subscriber retention across 1,700+ users without manual QA. • Architected an AI-powered Question Curation Agent (Claude API + prompt engineering) that transforms unstructured interview data into production-ready structured content — scaling the platform from 0 to 532 qualified problems across 49 companies with 3,729 validated test cases in 60 days, automating what would require a 3-person content team working 6+ months. • Designed a full-stack analytics-to-action pipeline with 12 behavioral user segments (churn risk, engagement scoring, conversion propensity), AI-powered email generation, 15+ automated campaigns, and real-time traffic attribution across 25 sources — driving 1,700+ signups at 82% organic acquisition, operating as a solo growth engineer replacing a marketing team. • Founded PipeCode.ai and led product strategy, managing a 2-person engineering team to ship an AI-native interview prep platform with 532+ practice problems, 4 courses (41 hrs), AI mock interviews, AI resume builder, and AI coding assistant — growing to 1,700+ users in 4 months with minimal paid acquisition budget by defaulting to AI for every operational function. • Engineered an automated growth engine across LinkedIn and Instagram using Playwright and the LinkedIn API with programmatic audience targeting, OAuth2 auth, and AI-generated content systems — identifying high-ROI outreach opportunities and driving 11% of total platform traffic through organic and paid social activity.
Drove the adoption of C360 Metrics MVP 2.0, collaborating with 6+ teams to deliver 50+ customer-health metrics for a $1.9B ARR business. • Engineered Product Metrics V2, providing real-time KPIs for 80K+ premium customers, enabling $1.2B+ in revenue growth. • Delivered 30+ strategic data deep-dives, enhancing decision-making for accounts representing over $100M in combined ARR. • Served as Data Platform on-call engineer across multiple rotations, resolving P0/P1 escalations within SLA to maintain 99.9%+ pipeline uptime for data systems underpinning $1.9B in ARR and 23,000+ customer accounts. Skills: SQL, Python, Spark, Hadoop (HDFS, Hive), Databricks, dbt, AWS, Fivetran, Datahub, Tableau, GitHub