Venu Gopal Reddy E.

About Venu Gopal Reddy E.

I design and deliver large‑scale data platforms that help organizations modernize, govern, and activate their data. With 18+ years across cloud, data architecture, modeling, and enterprise modernization, I specialize in building secure, scalable, and future‑ready ecosystems on AWS, Snowflake, Databricks, and Microsoft Fabric.My work spans Data Lakehouse, Data Mesh, Data Vault, and AI/ML architectures—bringing together domain‑driven design, federated governance, and cloud‑native engineering. I’ve led multi‑agency CJIS‑compliant platforms, regulatory reporting migrations, enterprise data lake programs, and global data mesh implementations across banking, public sector, manufacturing, and CPG.I partner with CIOs, architects, and engineering teams to define target‑state architectures, modernize legacy systems, and build self‑service analytics capabilities. My recent work includes designing a Bedrock‑powered RAG platform for automated IT support, architecting multi‑organization data sharing frameworks, and delivering enterprise‑wide data products that accelerate decision‑making.My passion: turning complex data landscapes into simple, governed, high‑value platforms that scale with the business.

Experience

1. Senior Data Specialist Software Engineer Lead Developer

   Speridian Technologies

   Feb 2023 — Present · Albuquerque, NM, US

   Conceptualized technical discovery, high-level solutioning, and PoCs that secured multi-million dollar project funding and stakeholder buy-in as primary client-side SME for AWS engagements.* Led end-to-end architecture and delivery of a CJIS-compliant, multi-agency Data & Analytics Platform, ensuring alignment with TOGAF principles, enterprise standards, and governance frameworks.* Defined target-state architecture across data, application, security, network, and integration domains to support cross-organizational operations.* Engaged CIOs, agency leadership, and cross-functional teams to establish architecture vision, access models, governance policies, and reporting standards.* Designed scalable, secure cloud architecture using AWS S3 + Iceberg, Glue, Athena, DynamoDB, Redshift, Lake Formation, Bedrock, and private networking (VPC, VPN, Transit Gateway).* Established multi-layered security incorporating IAM, Lake Formation, KMS encryption, network segmentation, and CJIS-aligned controls.* Architected data ingestion, transformation, and integration patterns using AWS DMS, Glue, Lambda, and Python-based ETL pipelines.* Prepared data models, including conceptual/logical/physical models, data mapping, and data dictionaries.* Drove enterprise analytics delivery including QuickSight dashboards, Athena self-service queries, and Amazon Bedrock AI interface for natural-language insights.* Designed and deployed end-to-end AI/ML pipeline leveraging Amazon Bedrock, RAG, Claude 3 Sonnet, and Titan Embeddings v2 for intelligent IT support automation within CJIS-compliant environment.* Directed migration strategy including structured/unstructured data ingestion and Storage Gateway adoption.Ensured architectural alignment with enterprise security and compliance using GuardDuty, Inspector, Security Hub, Config, and CloudFormation.* Provided architectural leadership and mentorship to internal IT teams, improving cloud proficiency and operational maturity.

Education

• Indian Institute of Technology (Banaras Hindu University), Varanasi

  Master's degree, Mining

  2004 — 2006