About
Data professional with ~4 years of experience in data engineering, analytics, and business intelligence across enterprise-scale systems. Proven track record of improving data accuracy by 25% and accelerating data retrieval by 40% through the design and implementation of robust integration and reporting solutions. Proficient in SQL, Python, Power BI, Databricks, Azure Data Factory (ADF), and API integrations. Skilled in transforming raw data into reliable datasets and actionable insights to drive business decisions and process optimization. Contributed to L’Oréal and AMS initiatives by leveraging MySQL and Python to enhance operational efficiency, resulting in approximately $50,000 in annual value generation.
Skills & Expertise (26)
Work Experience
Data Analyst
SUFI Pvt Ltd
Sep 2021 - Jul 2022
Leveraged SQL to perform cohort analysis on user growth and seasonality, providing data-driven insights for business strategy. Optimized SQL queries to extract and process high-volume datasets, improving query performance and analytical efficiency. Created DAX expressions for measures, calculated columns, and tables, mastering DAX to enable custom calculations and aggregations. Built relationships between tables and defined hierarchies for optimal data representation.
Data Analyst
Accenture
Present - Present
Developed automated data workflows that reduced Steerco report generation time by 30%, shifting the focus from manual data entry to strategic analysis. Processed and transformed high-volume data (2.5M+ users) using PySpark and SparkSQL, ensuring data quality and integrity. Designed executive dashboards using Power BI, DAX, and data modeling, driving a 55% improvement in operational efficiency. Architected integrations between SAP S/4HANA and external applications using REST APIs and batch job scheduling to ensure seamless data flow across the enterprise. Leveraged SQL and Python analytics to identify process gaps, contributing to $50K+ annual revenue growth.
Data Engineer
Accenture
Oct 2022 - Present
Designed and optimized ETL/ELT pipelines using Azure Data Factory and PySpark, enabling scalable data processing across Medallion architecture (Bronze, Silver, Gold). Built and maintained data solutions aligned with Lakehouse and Data Warehouse concepts, leveraging ADLS/OneLake for centralized storage. Developed and maintained data pipelines for ingestion, transformation, and orchestration, ensuring reliable and automated data movement across systems. Developed interactive dashboards using Power BI with advanced DAX calculations and analytics capabilities, including forecasting and trend analysis, to support data-driven decision-making. Leveraged semantic models connected to Databricks to analyze and visualize curated datasets. Developed ad hoc reports to address business queries and deliver actionable insights for stakeholders. Developed and optimized T-SQL objects and performed query performance tuning for large-scale datasets. Automated end-to-end data pipelines and reporting workflows, reducing manual effort by 25%. Implement rigorous data quality checks, monitoring and security controls to maintain accuracy, compliance, and good standard data health. Hands-on experience operating a centralized data lake and data catalogue, including dataset onboarding, partitioning, and access patterns for analytics.
Education
Bachelor of Technology in Computer Science Engineering - Chandigarh Engineering College, Landran
2018 - 2022 · Afghanistan
Certifications
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Citizen
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Open to Relocation
Skills (26)
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