Apoorv

Data Engineer | Data Analyst

APAC 4+ yrs exp 89 · Excellent

About

Data professional with 4+ years of experience designing end-to-end data pipelines, cloud data platforms, and analytics solutions — ingestion, transformation, warehousing, and visualization — using SQL, Python, Microsoft Fabric (Lakehouse, Warehouse, Notebooks, Pipelines), and Alteryx. Track record of cutting pipeline and report runtimes by 50–80% through data model and query optimization, and leading a production migration from Google BigQuery to a Fabric Lakehouse/Warehouse architecture with zero-downtime cutover.

Skills & Expertise (25)

Dashboard Design Advanced

8.5/10

Years Exp

Power BI Advanced

8.5/10

Years Exp

Microsoft Fabric Advanced

8.5/10

Years Exp

DAX Advanced

8.5/10

Years Exp

Data Modeling Advanced

8.1/10

Years Exp

Google BigQuery Advanced

8.1/10

Years Exp

Microsoft SQL Server Advanced

8.1/10

Years Exp

NumPy Advanced

8.1/10

Years Exp

Pandas Advanced

8.1/10

Years Exp

Python Advanced

8.1/10

Years Exp

SQL Advanced

8.1/10

Years Exp

Alteryx Advanced

8.1/10

Years Exp

Incremental Loads Advanced

8.1/10

Years Exp

Data Warehousing Advanced

8.1/10

Years Exp

ETL Advanced

8.1/10

Years Exp

scikit-learn Intermediate

7.5/10

Years Exp

Databricks Intermediate

7.5/10

Years Exp

Data Storytelling Intermediate

7.5/10

Years Exp

Regression Intermediate

7.5/10

Years Exp

Classification Intermediate

7.5/10

Years Exp

Feature Engineering Intermediate

7.5/10

Years Exp

Model Evaluation Intermediate

7.5/10

Years Exp

GitHub Actions Intermediate

6.5/10

Years Exp

Version Control Intermediate

6.5/10

Years Exp

Jupyter Notebooks Intermediate

6.5/10

Years Exp

Work Experience

Power BI Developer

Zouma Consulting Services

May 2025 - Present

Led migration of analytical datasets from Google BigQuery to Microsoft Fabric Lakehouse/Warehouse, managing schema compatibility and data validation to deliver a zero-downtime cutover. Designed and automated ETL pipelines in Alteryx to feed clean, reliable data into downstream analytics and reporting layers. Diagnosed and resolved a critical capacity saturation issue (100% utilization) by redesigning the underlying data model, cutting dataset size by 50%. Optimized complex DAX queries and measures, improving report performance by up to 80% and significantly reducing refresh time. Rebuilt downstream Power BI reports on Fabric-backed datasets, improving query performance and standardizing the analytics stack.

Sr. Software Engineer – Data & BI

Talentpace

Apr 2022 - Mar 2025

Built end-to-end data pipelines in Microsoft Fabric, ingesting from SQL Server, transforming with Python and SparkSQL, and loading into Lakehouse/Warehouse environments. Designed and delivered 80+ interactive Power BI dashboards using advanced DAX, supporting 100+ cross-functional users across supply chain, finance, and operations, and cutting manual reporting by 30%. Optimized data models and DAX calculations, reducing report refresh time by 50% and improving report interaction speed by 80%. Replaced Excel-based workflows with governed Power BI reporting solutions, improving data accessibility and consistency across business teams.