Venkat Penmethsa

Key Projects & Platform Contributions

Data Platform & Architecture

Brandenburg Metadata Modernization (Strategic Data Platform)

• Led modernization of the internal Liberty metadata access model, migrating from MySQL RDS to a transactional lakehouse architecture (S3 → Iceberg → Glue → Athena → Snowflake External Tables).
• Delivered ACID consistency, automated ingestion, and near-real-time validation.
• Enabled Snowflake to query Iceberg-managed datasets, improving metadata accuracy and access performance.
• Designed architecture for large-scale distributed metadata systems supporting high availability and consistent data access across teams.

Epiphany → Airflow Migration

• Modernized legacy ETL workflows by migrating to Apache Airflow, reducing technical debt and improving pipeline maintainability, observability, and scalability.
• Implemented monitoring, testing, and validation automation to maintain production availability and ensure pipeline integrity.

Teamthink UI Ingestion Pipeline

• Designed and implemented end-to-end ingestion pipeline (SFTP → S3 → Kafka → Snowflake), automating file handling and eliminating manual processes.
• Improved data reliability and reduced ingestion latency through robust automation and monitoring.
• Implemented event-driven architecture patterns and containerized microservices for scalable ingestion and processing.

Analytics, Governance & Virtualization

Power BI Premium Audit Automation

• Built governance automation using AWS Lambda and EventBridge to audit Power BI Premium usage.
• Reclaimed underutilized capacity and reduced licensing costs through automated audits and enforcement.

MCP for Power BI Semantic Models

• Developed an LLM-ready MCP server with DAX automation and RBAC controls.
• Accelerated Power BI semantic model migrations and improved governance through automated access controls.

Denodo Virtualization Layer

• Implemented a unified virtualization layer across Snowflake, S3, and Neo4j.
• Enforced centralized governance while enabling consistent, secure data access for analytics teams.
• Documented and communicated architecture and governance patterns for cross-functional teams.

Neo4j Graph Platform (SaaS)

Platform Design & Operations

• Designed and operated Neo4j as an internal SaaS platform with minimal operational overhead.
• Deployed multi-AZ clusters using Terraform and AWS CDK, enabling secure PrivateLink connectivity and AD-based access controls.
• Built production deployment processes and runbooks to support ongoing platform stability and compliance.

Self-Service & Observability

• Built a role-based UI for self-service lifecycle operations (pause/resume, restore).
• Developed a Java/Pulse monitoring service for proactive cluster health tracking and availability monitoring.
• Introduced testing and validation automation to reduce incident rate and improve operational reliability.

Backup & DR Compliance

• Implemented cross-account AWS backup replication to failsafe accounts, strengthening disaster recovery posture and ensuring regulatory compliance.
• Designed DR architecture aligned with large-scale distributed system requirements and compliance needs.

GenAI-Driven Productivity & Custom Platforms

GenAI-Driven Development Productivity

• Leveraged GenAI/LLMs (Claude) along with GitHub Copilot and Codacy to accelerate development and improve code quality.
• Implemented automated code quality and testing practices to maintain high reliability across production systems.

Custom MCP Servers for Analytics Discovery

• Designed MCP servers to query Snowflake metadata and integrate with Power BI.
• Enabled intelligent discovery of user-accessible resources and accelerated analytics workflows through automated metadata access.
• Built and documented scalable microservices architecture to support future growth and extensibility.

Additional Qualifications & Core Competencies

• Developed and documented complex architectures for big data platforms on AWS.
• Automated CI/CD pipelines to improve deployment schedules and production support efficiency.
• Collaborated with stakeholders to define requirements and deliver effective solutions.
• Enhanced system quality through rigorous testing and validation automation.
• Leveraged developer productivity tools such as GitHub Copilot and Codacy for continuous improvement.
• Applied expertise in analytics engineering and scalable distributed systems in Agile/Scrum environments.
• Streamlined operational workflows to boost efficiency and reliability of systems.

• Managed AWS environments (EC2, VPC, IAM, EBS); automated deployments using Terraform and CloudFormation.
• Supported secure networking, monitoring, and analytics onboarding.

Roles & Responsibilities:

• Administered and maintained SAP BusinessObjects and Tableau environments on UNIX and Windows.
• Managed user security, server configurations, and data connections.
• Performed upgrades, patches, and performance tuning.
• Supported report/dashboard publishing, scheduling, and troubleshooting.
• Collaborated with developers and business users to ensure BI platform stability and availability.