.png){kind=logo}
Vetted Data & Analytics Professionals in Texas
Pre-screened and vetted in Texas.
Popular Titles
Xiaofan Hu
Director-level Data Engineering Manager specializing in cloud data lakes and analytics platforms
Kamireddy Rajesh Kumar
Mid-level Data Engineer specializing in cloud ETL/ELT and data warehousing
Andrew Santoli
Senior Data Engineer/Data Scientist specializing in ML platforms, cloud data, and blockchain analytics
Monica Bonagiri
Senior Data Analyst specializing in healthcare, insurance, and financial analytics
Pramodher Reddy Dasari
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Sam Nantang
Senior Business Analyst / QA Lead specializing in cloud, security, and enterprise testing
Nikita Makkena
Mid-level Data Scientist specializing in ML, data engineering, and real-time analytics
Khushfateh Singh Sikand
Mid-level Systems Business Analyst specializing in AI automation and financial data pipelines
Mankirat Bhamra
Mid-level Data Engineer specializing in cloud ETL and big data pipelines
Siddhardha Madda
Senior Data Engineer specializing in Azure/AWS lakehouse and real-time analytics
Harshini Nimmala
Mid-level Data Scientist specializing in NLP, computer vision, and MLOps
Jaideep Janapati
Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines
Ajith Kumar
Mid-level AI Data Engineer specializing in GenAI, RAG, and cloud data pipelines
“LLM/agentic AI builder who deployed a production ITSM automation agent on Google ADK integrating ServiceNow and FreshService, with strong safety guardrails (human-approval gating and runbook-only command execution) and rigorous evaluation (500 synthetic tickets; 80%+ false-positive reduction). Also partnered with finance to deliver an AI agent that automated invoice/SOW retrieval and monthly reporting to account managers, reducing manual back-and-forth.”
Vengalarao Pachava
Junior AI Data Engineer specializing in Azure Databricks lakehouse and GenAI RAG systems
“Backend/applied AI engineer from Cloud Rack Systems who built production GenAI/RAG and data platforms on Azure/Databricks at enterprise scale (2.5M records/day). Known for making LLM systems behave like deterministic services via strict retrieval contracts, citation-based validation, and strong observability—shipping a knowledge assistant used daily by 50+ users while driving hallucinations near zero and materially improving latency and cost.”
Naga Tharun
Senior Data Scientist / ML Engineer specializing in GenAI, NLP, and MLOps
Sai Sanjana Das Thigulla
Mid-level Data Scientist specializing in ML, MLOps, and Generative AI
Mahaboob Johny
Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards
“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”
Amulya Surabhi
Junior CRM Analyst specializing in SaaS and HealthTech automation
Christopher Crow
Mid-Level Full-Stack Developer specializing in Python/FastAPI and React