TAUSEEF NAWAZ

Migrated over 15 legacy ETL pipelines to Microsoft Databricks, boosting data processing performance by up to 60% and significantly reducing maintenance overhead.

Engineered over 40 robust ETL workflows to ingest complex ad-marketing and CRM data from multiple sources into Databricks Unity Catalog, ensuring centralized governance and seamless data access.

Developed more than 20 modular ELT models using DBT on Snowflake, reducing query runtimes by 40% and enabling near real-time marketing performance insights.

Automated data quality checks and incremental loads for CRM and ad data pipelines, increasing data reliability by 70% across 5+ downstream Power BI reports.

Achieved 30% cloud cost savings by redesigning data flows and optimizing Spark SQL queries.

Architected and deployed an end-to-end lakehouse architecture with Microsoft Fabric, enhancing enterprise-grade BI and reporting capabilities.

Developed over 25 key performance indicators (KPIs) from CRM and GA4 data, visualizing insights in Power BI dashboards to inform cross-functional decision-making.

Established and managed an HTAP connection between Azure Cosmos and Azure Synapse Dedicated SQL Pool, enabling real-time data streaming and custom ad-hoc reporting for 12 diverse clients.

Streamlined CI/CD pipelines for automated deployment of data assets, accelerating release cycles by 50%.

Maintained 99.9% system availability through the implementation of robust monitoring, alerting, and failover strategies within the Fabric ecosystem.

Contributed as an ETL Developer to a blockchain-based financial platform (Cashero), extracting customer journey data from Kafka to enhance analysis and throughput.

Developed real-time ELT pipelines with Kafka and Snowflake, enabling low-latency data ingestion for multi-currency wallets and cross-border payment analytics.

Designed and implemented a medallion architecture with layered data storage (bronze, silver, gold), building a scalable data warehouse using dimensional modeling.