.png){kind=logo}
Vetted SQL Professionals
Pre-screened and vetted.
Nisarg Shah
Junior Machine Learning Engineer specializing in geospatial analytics and computer vision
“Built and evolved a geospatial ETL + API platform that processes pixel-wise satellite imagery in PostgreSQL/PostGIS into low-latency farm-level time-series metrics for an interactive dashboard, using precomputed hotspot analysis to reduce latency by 75–80%. Experienced in FastAPI-style API contract design (OpenAPI), caching, server-side filtering/compression, and production-minded security patterns (RBAC, session-derived authorization, password hashing) with disciplined rollback/versioning practices.”
Tejas Kolpek
Mid-level Solutions Architect/Engineer specializing in AI and data integrations
“Solutions Engineer specializing in taking LLM copilots from demo to production, with a strong emphasis on enterprise security (RBAC/OAuth), grounded RAG behavior (cite-or-refuse), and operational readiness (eval loops, logging, runbooks). Experienced in real-time diagnosis of agentic/LLM workflow failures and in partnering with Sales/CS to run integration-first POCs that clear security and reliability concerns and accelerate rollout.”
Rajesh Sivakumar
Senior Software Engineering Manager specializing in cloud-native distributed systems (FinTech & Healthcare)
“Engineering leader/player-coach who has led 40+ developers across multiple teams on large financial services web applications (Wells Fargo) and previously delivered a banking mobile app MVP in 6 months with a junior team by setting patterns and CI/CD foundations. Strong in production reliability practices (Splunk monitoring, feature flags, throttled rollouts) and has driven measurable quality/velocity wins, including a 60% faster E2E test framework and a rapid 2-day hotfix during a React 16→18 migration.”
Nithish Nelagal
Mid-Level Software Engineer specializing in data engineering and cloud platforms
“Backend-leaning full-stack engineer who has shipped production-critical data/reporting features at Walmart and built an end-to-end workflow automation product (FastAPI + React/TypeScript + PostgreSQL) deployed on AWS. Strong in performance/reliability engineering (parallel ETL, batch DB operations, indexing via EXPLAIN ANALYZE), secure API design (JWT/RBAC), and pragmatic incident-driven scaling (separating workers from API layer).”
Erick Folckemer
Senior Gameplay Systems Programmer specializing in AAA game systems and networking
“Gameplay engineer with shipped experience (Just Cause 4) and strong systems ownership in C++/Unreal Engine 5, including a loot spawning/loot table pipeline optimized through profiling-driven memory copy elimination and validated via custom simulation tools. Also built a server-authoritative fast travel system in a proprietary engine, handling multi-player/vehicle spawn coordination with client-side collision checks and latency testing across NYC and Stockholm.”
Joon Im
Mid-level QA Automation Engineer (SDET) specializing in API and test automation
“QA automation engineer who owns and modernizes end-to-end test automation across Selenium (Java) and Cypress (JavaScript), integrating suites into GitLab CI/CD with PR gating, nightly runs, and Sauce Labs reporting/recordings. Demonstrated impact by catching a session-timeout workflow issue in CI that manual testing missed and by reducing flakiness through stack upgrades, coding standards, and API-synchronized assertions.”
Mahesh Kota
Mid-level Full-Stack Java Developer specializing in cloud-native FinTech and Healthcare platforms
“Backend engineer with production experience building and scaling a Java/Spring Boot payment processing API on AWS (PostgreSQL/Redis) handling a few thousand RPS, including deep performance debugging (connection exhaustion) and observability (CloudWatch, Actuator, Zipkin). Also shipped application-layer AI features (OpenAI email summarizer with feedback loop, ~40% faster agent response times) and designed reliable multi-step workflow orchestration with retries and manual escalation, plus strong SQL tuning and Python engineering practices.”
Ganesh Pittala
Senior Software Engineer specializing in distributed systems and cloud-native platforms
“Backend-leaning full-stack engineer with experience at Walmart, Qualtrics, and American Express, shipping secure partner-facing API platforms and internal monitoring dashboards. Strong in AWS production operations (ECS/Fargate, RDS/Postgres, CloudWatch) plus rigorous testing/security practices, with measurable delivery and performance improvements (35% faster releases; ~30–40% latency reductions).”
Pranita Agrawal
Mid-level Software Engineer specializing in Java microservices and AWS
“TypeScript backend/full-stack engineer who owned an internal business workflow platform end-to-end in production, including API/data design, relational DB integration, and enterprise integrations. Has hands-on experience operating workflow processing services with Kafka-style event-driven patterns, idempotency, exponential backoff retries, dead-letter queues, and strong observability, plus API design with OpenAPI/Swagger and token-based auth.”
Prasanth Sai
Mid-level Data Engineer specializing in cloud lakehouse/warehouse pipelines
“Data engineer with HCA Healthcare experience building and operating end-to-end AWS-based pipelines for clinical and operational reporting (50–100 GB/day), serving curated data into Redshift/Snowflake for Power BI/Tableau. Emphasizes production reliability (Airflow SLAs/retries/alerting, logging/observability) and strong data quality controls (reconciliations, schema/null/duplicate checks), and has shipped versioned REST APIs to expose warehouse data to downstream systems.”
Niv Srinivasan
Senior Infrastructure Engineer specializing in FinTech and crypto payments
“Backend/full-stack engineer who built an autonomous trading system end-to-end, emphasizing correctness and long-term reliability via reconciliation, idempotent order handling, and production observability (Sentry, structured logs, alerts). Also built and maintained external-facing APIs (Firebase auth, Swagger docs) and resilient Selenium-based e-commerce scraping/automation with anti-bot and UI-change hardening.”
Nithya Nagaraj
Mid-Level Software Engineer specializing in cloud-native microservices and FinTech platforms
“Software developer with hands-on experience refactoring a legacy .NET CMS into a newer API-driven application (ASP.NET MVC, JavaScript/HTML), including dynamic asset migration and resolving team merge conflicts in Bitbucket. Built automated tests with PyTest and used Postman for API validation, and leveraged Splunk for production issue detection; also worked on an end-to-end ticketing/workflow management project with prioritization and verification steps.”
Shashank R
Senior Data Engineer specializing in cloud data platforms and real-time analytics
“Data engineer (Credit One) who built and owned real-time financial transaction and credit risk/fraud data systems end-to-end on AWS + Snowflake. Delivered high-scale pipelines (150k events/hour; ~2TB/week), raised data accuracy to 99%, and cut Snowflake costs 42% while adding strong observability, schema-drift handling, and production-grade APIs/documentation.”
esha Pothukanuru
Mid-level Data Engineer specializing in cloud lakehouse platforms and ETL/ELT
“Accenture data engineer who greenfielded a supply-chain lakehouse platform, building an end-to-end medallion/Delta pipeline ingesting ~1.4TB/day from 17+ ERP/WMS/TMS/shipment sources. Delivered Gold datasets to Redshift/Synapse/Databricks SQL powering Power BI/Tableau with a 99.5% SLA, while cutting runtime 30% and cloud costs 16% through Spark/Delta optimizations and robust data quality controls.”
Ashish Kapoor
Director of Digital Solutions & Principal Architect specializing in composable DXP and AI transformation
“Enterprise digital transformation technologist with SaaS and AI platform experience who positions themselves as a technical bridge for VC/startup contexts—focused on technical due diligence (scalability, technical debt, AI readiness) and helping portfolio companies build enterprise-grade, scalable platforms with AI-driven product development approaches.”
Ashrita Mishra
Mid-level Data Analyst specializing in analytics, ETL, and cloud data platforms
“Data analyst with 4 years of experience spanning banking and retail/marketing analytics. Has hands-on experience building churn analytics pipelines in SQL and Python, optimizing large-query performance, and turning stakeholder-aligned metrics into recurring dashboards and business actions.”
Tejasri Joshi
Mid-level Machine Learning Engineer specializing in Healthcare AI and Generative AI
“Analytics professional with Intuit experience spanning modern data stack work, behavioral segmentation, and applied AI. They built dbt/Snowflake pipelines powering retention and churn dashboards, automated feedback classification with OpenAI/LangChain, and partnered closely with product and marketing teams to turn analytics into onboarding, targeting, and lifecycle messaging decisions.”
Shashwat Negi
Mid-level Software Engineer specializing in AI/ML and full-stack systems
“Data Scientist (2–3 years) at ZS Associates who has built and productionized agentic LLM systems, including a LangGraph-based multi-LLM prompt-optimization pipeline for entity extraction deployed as a Spring Boot microservice via Jenkins. Also built an Insightmate.ai chatbot and improved its RAG accuracy by diagnosing vector retrieval issues and implementing HyDE query expansion, while partnering with sales and pharma stakeholders to drive adoption (e.g., Zimmer Biomet platform migration into a multi-year partnership).”
YaswithaSai Atluri
Mid-level Data Analyst specializing in BI, analytics automation, and cloud data platforms
“Analytics professional with hands-on experience building SQL/Python pipelines, customer ID mapping logic, and self-serve BI dashboards across marketing/CRM and regulated aviation reporting environments. Particularly strong in turning messy multi-source data into trusted reporting assets, with repeated claims of major efficiency gains, faster decision-making, and high-confidence stakeholder adoption.”
Mehar Matta
Junior Marketing Analytics professional specializing in B2B SaaS and AI-driven insights
“Analytics professional with hands-on experience building SQL and Python workflows for marketing, funnel, and revenue reporting across tools like Salesforce, Google Analytics, and Power BI. They stand out for turning messy, multi-source data into trusted reporting layers, aligning sales and marketing on shared KPI definitions, and using segmentation/cohort analysis to improve campaign targeting and conversion performance.”
Patrick Zydziak
Mid-level marketing operations specialist specializing in growth and e-commerce optimization
“Lifecycle/CRM marketer with hands-on experience building and QAing high-volume split-test campaigns in Salesforce and Braze. They emphasize experimentation and revenue impact, using Tableau-based KPI analysis (AOV, conversion, refund rate) to identify winners and scale successful tactics like interactive spinning-wheel offers across products.”
Aaron Yoder
Director-level marketing leader specializing in demand generation and lifecycle marketing
“Outbound sales candidate with fintech experience selling into financial advisory firms, combining cold email and LinkedIn outreach with strong list-building and segmentation discipline. Demonstrated measurable pipeline impact by generating 90 meetings in two months and improving lead quality through messaging experiments and stakeholder mapping in a compliance-sensitive SEC-regulated environment.”
Sagar Sidhwa
Senior AI/ML Engineer specializing in LLMs, MLOps, and predictive analytics
“ML/AI engineer with hands-on experience building production MLOps systems for predictive maintenance and demand forecasting, including deployment, monitoring, and iterative retraining. Also shipped a RAG-based employee onboarding chatbot integrated with ServiceNow APIs and reports business impact of roughly $300k/month in reduced stockout and overstock costs.”
Ashutosh Singh
Mid-level Software Engineer specializing in backend systems and distributed platforms
“Built from scratch a social media analytics MVP featuring an LLM-powered semantic search agent that became a core part of the product experience within a 6-week deadline. Stands out for focusing on production readiness early—retrieval-first design, explicit tool constraints, structured outputs, idempotent services, and practical eval/monitoring loops rather than demo-only AI.”