Vetted Data Processing Professionals

“Senior engineering leader with 8+ years of hands-on and people leadership experience across data-intensive enterprise platforms. He has led legacy-to-AWS modernization for mission-critical identity data workflows at Deep Sync, built and scaled teams rapidly, and previously helped create a 0-to-1 enterprise analytics platform at Kantar that later scaled to handle 10x more data with major performance gains.”

“Robotics software engineer with internship experience at Lucid Motors building a mapping/localization pipeline that fuses LiDAR, camera, and GPS into high-fidelity 3D maps for autonomy/ADAS. Strong in SLAM and multi-robot systems—has modified ROS/ROS2 SLAM packages (FAST-LIO2, LIO-SAM) at the source level, optimized real-time multi-drone coordination for low-latency data sharing, and used Gazebo + Docker to simulate and deploy research robotics stacks.”

“Data/ML practitioner with experience at Airtel and Lincoln Financial delivering measurable business outcomes: improved retention 15% via NLP sentiment analysis and cut response time ~25% using sentence-BERT + FAISS semantic linking. Strong in data quality/identity resolution (SQL + fuzzy matching) and in building production-grade Python workflows orchestrated with Airflow/AWS Glue, including validation and dashboard integration in Power BI.”

“Data engineer with healthcare domain experience who has owned end-to-end pipelines and APIs at UnitedHealth Group, processing ~8M records per batch. Strong focus on data quality (multi-layer validation), reliability (monitoring/logging, retries/idempotency), and performance (Spark/SQL tuning, caching), with experience standing up early-stage systems using Python, Docker, and CI/CD.”

varshini yaganti

Screened

Mid-level Data Analyst specializing in financial and customer analytics

Marietta, GA4y exp

“Analytics professional with experience at KPMG and Robosoft Technologies, working across financial and customer engagement data. They combine SQL, Python, experimentation, and BI dashboards to turn messy multi-source data into decision-ready insights, including a pricing test that improved conversion rates by 9%.”

“Built a Python pipeline to monitor and classify public posts from sources like Hacker News and Reddit for SWE/tech job opportunities, with a strong focus on reliability, observability, and recoverable failures. Also currently building a court queueing system for the UCSD Badminton Club, showing an ability to turn messy, informal real-world processes into practical automation through iterative user feedback.”

“Backend/web API engineer with hands-on experience deploying .NET Core APIs to Azure App Service and stabilizing production systems through disciplined log-driven troubleshooting, environment configuration management, and SQL performance tuning (execution plans, query rewrites, indexing). Has also debugged cross-layer incidents involving DB locks and network latency, and modifies Python/XML automation scripts to meet customer-specific requirements while improving logging and performance.”

“Software engineer with experience delivering customer-facing and internal tools across GE Renewables, GE Healthcare (supply chain/production systems), and a Boulder-based event app startup. Recently focused on scaling backend performance using Redis and RabbitMQ, and has hands-on experience resolving hard-to-reproduce production issues in legacy authentication/session systems; also deployed a personal project (Journal Buddy) publicly.”

“Data engineer/backend data services builder with end-to-end ownership of production pipelines for a Pfizer client, combining Python/SQL ingestion and transformation with strong data quality controls. Delivered measurable performance gains (~30% faster queries) and improved reliability through monitoring/alerting (Splunk, Prometheus/Grafana), structured logging, and incident response; also built internal REST APIs with versioning and caching and set up GitLab-based CI/CD with containerized deployments.”