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Shantanu Upparwal

@shantanuupparwal

Data Engineer at Onecom building telecom billing pipelines and reporting that prevented £1,000–£2,000 in monthly billing costs.

India

Message

At Onecom, I maintain and enhance enterprise ELT pipelines for the CMSP platform and designed end-to-end data pipelines for the ISP (Vodafone) platform. My work supports telecom billing and finance reporting, including automated reporting for 10,000+ CTNs and a billing defect fix that prevented incorrect charges and reduced unnecessary costs by £1,000–£2,000 per month.

At BluePi Consulting, I optimized BigQuery pipelines and developed an enterprise SQL Assistant using Python, Ollama, RAG, vector embeddings, and Snowflake. I also built AI and data pipeline projects for financial research and structured, validated AI-generated data.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Onecom

Sep 2025 - Present (1 year)

Maintained and enhanced enterprise ELT pipelines for the CMSP platform and designed end-to-end data pipelines for the ISP (Vodafone) platform using BigQuery, Dataform, Apache Airflow, Airbyte, Google Cloud Storage (GCS), Cascade, and Salesforce, enabling scalable telecom billing and finance reporting. Developed and optimized BigQuery SQL transformations for telecom billing, CTN lifecycle managemen

BigQuery dataform Airflow Airbyte Google Cloud Storage Salesforce SQL Git Metabase Telecom Billing Data Pipelines ELT Data Warehouse Data Modeling

Technical Consultant

AussTech Fusion

May 2025 - Jul 2025 (2 months)

Built custom AL extensions in Microsoft Dynamics 365 Business Central to automate invoicing, PO approvals, and pricing workflows. Integrated Business Central with Power BI through OData and Dataverse, delivering real-time operational dashboards.

Microsoft Dynamics 365 Business Central Power BI OData Dataverse DAX Star Schemas Data Modeling

Data Engineer

BluePi Consulting

Mar 2024 - May 2025 (1 year 2 months)

Optimized BigQuery pipelines using Iceberg and external tables, reducing query costs and improving performance. Migrated MS SQL workloads to BigQuery and developed scalable ETL pipelines using GCS, Dataflow, Apache Airflow, PostgreSQL, AWS S3, and Snowflake.