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Vetted Data Engineers in the Charlotte Metro

Pre-screened and vetted in the Charlotte Metro.

AWSAmazon S3Apache SparkAWS GlueAWS LambdaAmazon CloudWatch
RA

Raviteja Annam

Senior AI & Cloud Engineer specializing in GenAI and data platforms

Charlotte, NC8y exp
TruistOklahoma City University
API GatewayApplied AI/MLAWSAWS CloudWatchAWS EC2AWS Glue+57
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RP

Rahul Perala

Mid-Level Data Engineer specializing in scalable cloud data pipelines and API-driven data services

Charlotte, NC5y exp
Bank of AmericaClark University
PythonSQLScalaJavaREST APIsFastAPI+56
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HG

HarshaSree gudapati

Screened

Senior Data Engineer specializing in cloud-native data platforms for finance and healthcare

Charlotte, NC4y exp
Bank of AmericaUniversity of Cincinnati

“Data engineer/backend data services practitioner with Bank of America experience building real-time and batch transaction-monitoring pipelines and APIs (Kafka + databases, REST/GraphQL). Highlights include a reported 45% response-time improvement through performance optimizations and use of Delta Lake schema evolution plus CI/CD (GitHub Actions/Jenkins) and operational reliability patterns like CloudWatch monitoring and dead-letter queues.”

AzureAzure Data FactoryAzure DatabricksAzure Data Lake Storage Gen2Azure Synapse AnalyticsAzure Key Vault+125
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KG

Koushik Gunjala

Screened

Senior AI Engineer specializing in Agentic AI and distributed systems

Charlotte, NC4y exp
UnitedHealth GroupUniversity of North Carolina at Charlotte

“LLM/agentic workflow engineer with healthcare domain experience who built a HIPAA-compliant multi-agent RAG system for clinical review automation at UnitedHealth Group, achieving 92% precision and cutting latency 40% through async orchestration and Redis semantic caching. Also has strong data engineering orchestration background (Airflow on AWS EMR with Great Expectations) and a proven clinician-in-the-loop feedback process that improved model faithfulness by 18%.”

Agentic AIDistributed SystemsHIPAA ComplianceRetrieval-Augmented Generation (RAG)LLM Inference OptimizationAzure OpenAI+95
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AS

Akash Shanmuganathan

Screened

Mid-level GenAI & Data Engineer specializing in agentic AI systems and AWS Bedrock

Fort Mill, SC4y exp
OneData Software SolutionsNortheastern University

“At onedata, built and deployed an LLM-powered, multi-agent analytics platform on AWS Bedrock that lets users create Amazon QuickSight dashboards through natural-language conversation, cutting dashboard build time from ~30 minutes to ~5 minutes. Strong in production concerns (observability, token/cost tracking, model tradeoffs) and in bridging business + technical work, owning pre-sales pitching through delivery with an engineering management background focused on AI product management.”

Agentic AIAgentic AI SystemsAgentCore FrameworkAmazon AthenaAmazon BedrockAmazon Bedrock Agents+95
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