Sai Vineeth M.

Implemented seamless Tableau security and automated user provisioning by integrating OKTA and AD groups, streamlining access for numerous users.

Developed a Tableau security and metadata dashboard for business managers, tracking license, user, and AD group management, data lineage, and role-level activity with multiple data sources.

Collaborated with Quality, Sales, and ETL teams to create Tableau data sources and schematic layers, enabling report generation from Salesforce, NetSuite, and Arena.

Extracted and processed semi-structured data (JSON) using Tableau Metadata API and GraphiQL queries to support advanced analytics.

Automated end-to-end workflows using Python, Metadata API queries, AWS S3 buckets, and Snowflake, significantly improving data pipeline efficiency.

Engineered data flows with Snowpipes and external tables for Snowflake cloud data warehouse, optimizing data ingestion and accessibility.

Designed and delivered an Operations Summary Dashboard for Group CIOs, consolidating ETL application performance metrics (incidents, change requests, work orders) to inform strategic business decisions.

Developed a Production Batch Analytics Dashboard to evaluate daily and historical SLA performance for ETL batch processes, enabling data-driven decisions on OLA/SLA agreements.

Created a TOIL Reduction and Recurring Issue Tracker for SRE teams, identifying and strategizing to eliminate recurring issues to improve overall system efficiency.

Constructed an Audit Dashboard for ECS-EIT team leads, analyzing extensive incident data for acknowledgement/resolution SLA, cause code accuracy, and shift-wise insights.

Implemented a TTS (Team Member Tracking System) for LOB heads, analyzing time tracking data to report on team efficiency and productivity with various metrics.

Developed an Operational Risk Mitigation Dashboard, proactively identifying and mitigating small to medium production risks by daily reporting on Autosys job parameter modifications.

Engineered an Autosys Monitoring Dashboard for L1 platform teams, enabling real-time tracking of machine status and batch job processing to ensure timely discrepancy reporting and escalation.

Designed a Capacity and Planning Dashboard for CPM, providing insights into server capacity, health, demand, CPU, filesystem, and memory utilization to support strategic planning and tech refresh initiatives.

Analyzed, maintained, and troubleshooted incidents, debugging and resolving issues on data warehousing platforms (Abinitio, Teradata) within defined SLAs.

Conducted Root Cause Analysis (RCA) for production issues, identifying batch optimization scenarios and recommending performance tuning techniques to enhance system efficiency.

Handled ad-hoc user data requests and queries from business teams, ensuring timely and accurate data delivery.

Wrote and maintained shell scripts to support daily system outages and automate report generation processes.

Performed component-level analysis during production issues using Abinitio GDE, demonstrating expertise in complex data processing environments.

Leveraged Abinitio air commands, m_commands, plans, and psets, alongside multi-file system (MFS) and partitioning techniques, to manage and optimize data flows.