Murtaza Udaipurwala

Consult across multiple client engagements to design and deliver end-to-end BI and data platforms. Build reusable onboarding frameworks, architect Omni semantic layer models for AI consumption, and lead white-label Python embedded analytics implementations.

Designed a real-time ERP data streaming pipeline using GCP Pub/Sub and Dataflow into BigQuery, then used dbt Core to transform raw data into customer-facing supply chain insights. Built Airflow ETL pipelines for Postgres updates and developed anonymized demo datasets using Airflow.

Built a streaming data pipeline using AWS Kinesis, Lambda, S3, Airflow, and dbt Cloud, and migrated Airflow to Terraform-managed infrastructure with full CI/CD. Optimized Snowflake queries to achieve $120K+ annual savings and migrated to Amazon MWAA to reduce BI/warehouse maintenance overhead.

Maintained timely, reliable data ingestion across Databricks and Snowflake using Stitch and Fivetran to keep sources current and transformations consistent. Built event-driven pipeline infrastructure with AWS services and mentored engineers on PySpark workflows and transformations.

Built a Salesforce pipeline using AWS ECS and S3 with Snowpipe processing complex JSON for real-time revenue reporting. Developed OCR machine learning infrastructure using AWS Lambda, S3, Textract, and SQS, and improved SQL orchestration performance with dbt.

Developed data models in Snowflake and Looker for analytics and modeling, and created a benchmarking product to generate revenue. Reduced ad hoc analytics requests by nearly 50% through Looker implementation.

Developed a predictive sales model with 70%+ accuracy for 60–90 day forecasts to improve cash flow visibility and spend retention. Automated cross-departmental reporting to support ongoing business decisions.

Pursuing a Bachelor of Science in Accounting at Purdue University (August 2025–present).