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Vetted Data & Analytics Professionals in the DFW Metroplex

Pre-screened and vetted in the DFW Metroplex.

SQLPythonAmazon S3Power BITableauAWS

Popular Titles

NM

Nikita Makkena

Mid-level Data Scientist specializing in ML, data engineering, and real-time analytics

Frisco, TX4y exp
OneDigitalUniversity of North Texas
PythonSQLJavaJavaScriptTypeScriptBash+103
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KS

Khushfateh Singh Sikand

Mid-level Systems Business Analyst specializing in AI automation and financial data pipelines

Dallas, TX4y exp
HotelKeyUniversity of Texas at Dallas
JavaPythonSQLAWSAmazon S3Amazon Kinesis+46
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SM

Siddhardha Madda

Senior Data Engineer specializing in Azure/AWS lakehouse and real-time analytics

Plano, TX7y exp
IDWTeamTexas A&M University
Apache AirflowApache HadoopApache HiveApache KafkaApache SparkAthena+81
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JJ

Jaideep Janapati

Mid-level Data Engineer specializing in cloud data platforms and real-time pipelines

Denton, TX5y exp
Real DynamicsUniversity of North Texas
SDLCAgileWaterfallRPythonSQL+111
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AK

Ajith Kumar

Screened

Mid-level AI Data Engineer specializing in GenAI, RAG, and cloud data pipelines

Irving, TX5y exp
Mouri TechGeorge Mason University

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.

PythonRSQLC#.NETKendo UI+124
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VP

Vengalarao Pachava

Screened

Junior AI Data Engineer specializing in Azure Databricks lakehouse and GenAI RAG systems

Irving, TX2y exp
Cloud Rack SystemsIllinois Institute of Technology

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.

ADLS Gen2AgileAirflowAlgorithmsAPI IntegrationAthena+197
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SS

Sai Sanjana Das Thigulla

Mid-level Data Scientist specializing in ML, MLOps, and Generative AI

Irving, TX5y exp
Insight Edge AnalyticsGeorge Mason University
PythonRSQLScalaPySparkPandas+121
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MJ

Mahaboob Johny

Screened

Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards

Denton, TX4y exp
Alenotech SolutionsFlorida Atlantic University

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.

SDLCAgileWaterfallPythonRSQL+85
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AS

Amulya Surabhi

Junior CRM Analyst specializing in SaaS and HealthTech automation

Frisco, TX2y exp
ArteraWebster University
API IntegrationsBehavioral SegmentationCase AssignmentCase ManagementClearbit APIConfluence+49
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