Tauseef Nawaz

Senior Data Engineer

• Job Details:Migrated 15+ legacy ETL pipelines to Microsoft Databricks, boosting performance by up to 60% and reducing maintenance overhead. Engineered robust 40+ ETL workflows to ingest ad-marketing and CRM data from Facebook, Google Ads, Salesforce, FollowUpBoss, and Five9 into Databricks Unity Catalog, enabling centralized governance and seamless data access. Built 20+ modular ELT models in 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. Established strong client relationships through clear and effective communication of complex technical concepts, ensuring client satisfaction and successful project outcomes.

Consultant Data Engineer

• Job Details:Designed and implemented end-to-end lakehouse architecture using Microsoft Fabric, powering enterprise-grade BI and reporting solutions. Developed 25+ KPIs from CRM and GA4 data, visualized in dynamic Power BI dashboards to support cross-functional decision-making. Created and oversaw an HTAP connection between Azure Cosmos and Azure Synapse dedicated SQL pool, enabling real-time data streaming and customized ad-hoc reporting for 12 diverse clients. Built historical data layers using SCD type 2 & 3 logic in Spark notebooks, enabling accurate trend analysis and audit tracking. Managed CI/CD pipelines for automated deployment of notebooks, datasets, and reports, accelerating release cycles by 50%. Ensured 99.9% system availability by implementing robust monitoring, alerting, and failover strategies within the Fabric ecosystem.