I’m a self-driven and self-taught Data & Analytics professional with 10+ years of experience building scalable data platforms, high-performance ETL/ELT pipelines, and real-time analytics systems across Azure, Databricks, Microsoft Fabric, and SQL-based environments. I work with global teams in Microsoft-centered environments as a consultant, helping companies transform fragmented, unreliable, and slow data landscapes into scalable, governed, and high-performance data ecosystems. Throughout my career, I’ve led major initiatives such as MongoDB-to-PostgreSQL migrations, enterprise data model redesigns, and streaming data pipelines supporting more than 1.5M transactions per day. My work covers the full data lifecycle, including ingestion, transformation, orchestration, governance, observability, performance tuning, and delivery of analytics-ready data at scale. I also design and deliver BI and semantic-layer solutions using Power BI, enabling self-service analytics, executive dashboards, operational monitoring, and real-time reporting. My technical stack includes Python, SQL, KQL, Delta Lake, Azure Data Factory, Synapse, Microsoft Fabric, Databricks, event-driven architectures, and CI/CD practices for data workflows. My projects have reduced real-time report latency by 80%, doubled analytics team productivity through automation, expanded KPI coverage to 90% of the business, and improved process adherence from 45% to 95% through data-driven governance and process-mining insights. I’m passionate about building resilient, scalable, and business-oriented data infrastructures that generate measurable impact, improve decision-making, and connect technology with real business outcomes. Open to global opportunities in Data Engineering, Analytics Engineering, Data Analysis, and Real-Time Visualization.
