Bashetty Vaishnavi

Data & AI Engineer with 4 years of experience building end-to-end cloud data platforms and analytics solutions on GCP. Hands-on experience with Snowflake and dbt for warehouse-based analytics, and Databricks and PySpark for scalable lakehouse data processing, with strong foundations in data modeling, orchestration, and data quality. Built and optimized production data pipelines across 15 countries, reducing dashboard query latency by 85%, and developed a RAG-based analytics agent for natural-language access to enterprise data.

Data & AI Engineer at Accenture (2025-02 – Present)

• Architected an end-to-end YouTube analytics platform across 15 countries, ingesting real-time engagement data via Cloud Pub/Sub and Snowpipe Streaming and batch datasets through GCS and Snowpipe Auto-Ingest into Snowflake, powering 4 Looker Studio dashboards.
• Developed dbt transformation pipelines in Snowflake across staging, intermediate, and mart layers, building incremental fact, dimension, and reporting models that reduced repeated runtime transformations and cut dashboard query latency by 85%.
• Automated pipeline orchestration & production on Cloud Composer, with data-quality checks, retries, failure alerts, and freshness monitoring through Cloud Logging & Monitoring, while deploying pipeline changes through CI/CD.
• Developed an analytics agent that retrieves relevant schema and business metadata, generates and validates SQL, and executes controlled queries against Snowflake, enabling business users to query enterprise data in natural language.

Data Engineer at Accenture (2023-07 – 2025-01)

• Designed and built an end-to-end compliance reporting platform processing 1M+ records daily from 26 countries, ingesting source files from GCS through Databricks Auto Loader into the Bronze Delta layer, supporting a 30% reduction in regulatory report preparation time across 6 jurisdictions.
• Developed PySpark-based Bronze, Silver, and Gold pipelines in Databricks, handling schema variations, data standardization, deduplication, invalid records, business-rule transformations, and incremental processing to create audit-ready regulatory datasets.
• Implemented automated data-quality validation and quarantine workflows across the Silver layer to isolate 50,000 invalid records daily, improving final compliance-reporting accuracy to 98%.
• Orchestrated end-to-end pipeline execution using Databricks Lakeflow, integrating task dependencies, quality gates, freshness checks, schema-change monitoring, and failure alerts for reliable daily reporting.

Application Development Engineer at Accenture | Airtel Telecom (2022-10 – 2023-06)

• Built and supported an operational analytics platform on GCP, developing SQL-based data pipelines in BigQuery to refresh 30+ business metrics every 10 minutes for downstream reporting and analytics.
• Developed and maintained ELT pipelines and dbt models in Snowflake, improving pipeline reliability and performance through data-quality checks, freshness monitoring, query optimization, and CI/CD workflows.

Bachelor of Technology in Electronics & Communication Engineering – Sridevi Women's Engineering College (JNTUH) (2018-07 – 2022-07)