.png){kind=logo}
Vetted Data Engineers in Texas
Pre-screened and vetted in Texas.
Bhavika Uppala
Mid-level Data Engineer specializing in cloud data platforms and scalable ETL pipelines
Pramod Gangula
Mid-level Full-Stack Python Developer specializing in cloud microservices and ML
Arthur Djoufack
Senior Data Scientist / AI Engineer specializing in NLP, MLOps, and Generative AI
Tejaswi Vempatapu
Mid-level Data Engineer specializing in cloud lakehouse and real-time streaming analytics
Vijayalakshmi Talla
Mid-level Data Engineer specializing in cloud data pipelines and streaming analytics
Nikitha Margadi
Mid-level Data Engineer specializing in cloud lakehouse, streaming, and MLOps
SINDHURA JOGI
Mid-level Data Engineer specializing in Azure Databricks, Spark, and streaming analytics
Saipriya Akula
Mid-level Backend/Data Engineer specializing in cloud APIs and data pipelines
Siyu Xiao
Senior AI Engineer specializing in credit risk modeling and cloud ML platforms
Priya Balraaj
Senior Data Engineer specializing in Azure Databricks and ETL/ELT
Deepthi Mundarinti
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Thomas Patrey
Senior Data Engineer specializing in real-time pipelines, cloud data platforms, and healthcare analytics
Satvik reddy
Senior Data Engineer specializing in AWS cloud data platforms and streaming analytics
Nathan Magnon
Senior AI/ML Engineer specializing in LLMs, NLP, and production MLOps
Tharun Kshathriya Sangaraju
Mid-level AI Engineer specializing in LLM orchestration, RAG, and multi-agent systems
“Research Assistant at the University of Houston who built and live-deployed a production RAG system for 1000+ research documents, using hybrid retrieval (dense+BM25+RRF) with cross-encoder reranking and RAGAS-based evaluation; reported 66% MRR, 0.85+ faithfulness, and 68% lower LLM inference costs. Also built a deployed LangGraph multi-agent research system (Researcher/Critic/Writer) with tool integrations (Tavily, arXiv) and dual memory (ChromaDB + Neo4j), plus freelance automation work delivering a WhatsApp chatbot and n8n workflows for a wholesale clothing business.”
Colin Billing
Senior Data & ML Engineer specializing in cloud data platforms and real-time analytics
Apoorva Jadhav
Junior Data/Database Analyst specializing in AI, RAG systems, and analytics
Luke Barter
Senior Data Scientist / ML Engineer specializing in GenAI, NLP, and compliant healthcare ML
Prathima Chowdary Sudalagunta
Mid-level AI/ML Data Engineer specializing in cloud data platforms and Generative AI
Jyothi Illipilli
Mid-level Data Engineer specializing in AWS cloud ETL and analytics
Sai Lella
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Snehitha Penumaka
Mid-level AI/ML Engineer specializing in predictive modeling and cloud ML pipelines
“LLM engineer/data engineer who has deployed production RAG systems for internal-document Q&A, building end-to-end ingestion, embedding, vector search, and FastAPI serving while actively reducing hallucinations and latency through rigorous retrieval tuning and caching. Also experienced in orchestrating cloud data pipelines (Airflow, AWS Glue, Azure Data Factory) and partnering with non-technical business teams to deliver AI solutions like automated document review.”
Erik Arriaga
Mid-level Data Engineer specializing in cloud data pipelines and machine learning
“Experience spans college-built AWS-hosted Python/Flask web apps and enterprise data work at General Motors, including PostgreSQL query optimization on millions of records and multi-tenant-style data isolation using group-based, column-level permission grants. Also built an AWS-hosted meat price prediction dashboard using Dash/Plotly and ran large nightly data pipelines orchestrated with Apache Airflow.”