I am a Data Engineer and Analytics professional focused on designing robust data architectures, building scalable pipelines, and enabling insights through structured, reliable data.
A backstage architect empowering data to perform — crafting its structure, flow, and foundation so it can speak clearly, reliably, and with purpose.
I am a data-driven professional with a hybrid background in Data Engineering and Data Analysis, dedicated to turning complex data into strategic insights. With a decade of experience designing end-to-end data pipelines, building scalable cloud-based architectures, and enabling business intelligence, I thrive at the intersection of engineering precision and analytical storytelling.
My expertise spans data architecture, pipeline orchestration, and enterprise reporting—leveraging tools like Azure Data Factory, Microsoft Fabric, SQL, Python, PySpark, Power BI and Tableau.
Whether I’m engineering robust data infrastructure or uncovering insights through exploratory analysis and visualization, my goal remains the same: to empower teams with the right data at the right time to make confident, data-informed decisions.
To enable data-informed decision-making by crafting impactful analytics solutions that eliminate operational bottlenecks, streamline processes, and unlock the full value of organizational data.
To harness modern BI platforms, statistical methods, and cloud-based data engineering techniques to deliver reliable, actionable, and scalable data solutions that drive business innovation and performance.
Transform raw data into clear, actionable insights through intuitive dashboards and reports using Power BI and Tableau. Support strategic decision-making by identifying trends, monitoring KPIs, and delivering business-aligned analytics across departments.
Design, build, and maintain robust ETL workflows and automated data pipelines using Microsoft Fabric, Azure Data Factory, SQL, and shell scripting to optimize data ingestion, transformation, and delivery with high performance and reliability.
Lead large-scale BI platform migrations and performance enhancements—such as transitioning 120+ Tableau dashboards to Power BI and refining over 200 dashboards for better usability, governance, and scalability in enterprise environments.
Implement secure, scalable data solutions using Azure Data Lake, Databricks, PySpark and PostgreSQL. Enable high-throughput querying and real-time analytics by architecting efficient data storage and compute strategies across hybrid and cloud-native systems.
Skilled in data analysis, statistical modeling, SQL, Python, and data visualization with a strong focus on turning raw data into actionable insights.
Experienced in data analysis, and problem-solving with a proven ability to deliver actionable insights that drive informed business decisions.
Dedicated to continuous growth through academic excellence in data analytics, business analysis, and computer applications.
Delivered enterprise-grade analytics and BI solutions using Power BI, Microsoft Fabric, Tableau, and cloud-based data engineering to drive reporting efficiency and business impact.