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Experience

GagaMullerApr 24 - Present

Architected & Led migration of disparate data engineering solutions into one scalable Data Engineering & Warehousing solution, with proper data modelling, end-to-end data governance, testing & CI/CD workflows for reliable production releases
Engineered a backlog and individual performance tracking solution built on top of Azure DevOps API to create visibility for the Product Owners, allowing them to proactively monitor their release cycles.
Eliminated technical debt by migrating legacy reports backends to Microsoft Fabric for improved latency.
Maintained standard python libraries used across our pipelines for consuming 3rd party file formats & APIs.
Co-led the development of a greenfield Enterprise Reporting Suite for a client, allowing them to have better visibility on their data center projects spanning across continents.
Co-led the development of a scalable Data Product template encompassing ETL & BI capabilities, reducing onboarding time by more than 90%.
Unified a fragmented mess of disparate data sources for a client into an automated Power BI ecosystem, implementing a governance dashboard that forced data integrity and replaced broken weekly manual reports with a live dashboard.
Managed custom reporting needs for the product’s (Uconia) clients.
Maintained Power Apps solutions for internal use cases.

Bestway Cement Ltd.Aug 22 - Jul 23

Analyzed inventory data that led to 20% reduction in inventory stock levels.
Developed & Managed dashboards for a 30 person team to make inventory planning efficient.

Skills

tl;dr

Pro — Python, Power BI, SQL, Fabric

Intermediate — Airflow/Dagster, Tableau, Azure, SQL Databases, Go

Noob — Kafka, Kubernetes, AWS, NoSQL, Databricks*

python	Ship production ETL/ELT modules and data quality tests.
go	Build workers for compute intensive tasks.

power-bi	Develop goverened semantic models & executive dashboards with RLS, refresh reliability and KPI definitions.
tableau	Side Projects for now.

fabric	Implement Lakehouse/Warehouse, medallion patterns, and deployment ready workspaces.
databricks*	Side Projects for now.
airflow	Build data pipelines for clients not using fabric.
dagster	Side Projects for now.

power apps	Internal Client Apps & Portals replacing Excel templates.
postgres/mysql	Fetch data efficiently from production application databases without affecting OLTP throughput.
ci/cd	Automate Build/Test/Deploy for data and BI artefacts.
data-governance	Own access control, data lineage, documentation.

*Peeling off the layers, fabric and databricks are the exact same platform.
Only difference being the ecosystem and DX provided by each platform.