Pranav Ranjan
@pranavranjan
Experienced data analyst focused on ETL, analytics, and interactive visualizations to drive decisions.
What I'm looking for
Lead Data Engineer with 7+ years of experience designing, building, and optimizing data pipelines, ETL workflows, and analytics infrastructure across Azure and AWS platforms. Proven expertise in Azure Data Factory, Azure SQL, Databricks, Synapse Analytics, Microsoft Fabric, Power BI, Data Lake, Python, and SQL. Adept at developing high-performance data solutions and implementing DataOps and CI/CD practices for scalable, secure, and reliable data delivery. Strong track record of driving efficiency, reducing data latency, and enabling analytics at scale.
Experience
Work history, roles, and key accomplishments
Lead Data Engineer
TestingXperts
Mar 2026 - Present (5 months)
Data Engineer & BI Developer with hands-on expertise in Microsoft Fabric, Azure Synapse, Azure SQL, ADF, and Power BI. Led migration of enterprise reporting to Fabric with zero downtime, built Direct Lake datasets to cut data duplication, and automated ingestion pipelines across multiple sources. Skilled at turning business requirements into scalable, reporting solutions.
Senior Analyst
UPS
Jan 2025 - Jul 2025 (6 months)
Designed and optimized SQL Server procedures and Power BI dashboards to improve operational visibility and data accuracy across GLS logistics, diagnosing production issues and delivering features within Agile release cycles.
Data Analyst
Vandoo LLC
Jul 2023 - Jan 2025 (1 year 6 months)
Executed ETL design and data warehouse logic using SQL Server and Hadoop, automated Python data workflows, and developed Tableau dashboards to improve data quality and operational efficiency.
Data Analyst
Volunteer, Jersey
Feb 2023 - Jul 2023 (5 months)
Collected and cleaned multi-source datasets, automated recurring SQL/Python reports reducing manual work 40%, and analyzed customer service metrics to improve response and resolution rates by 20%.
Published Power BI reports and developed DAX-driven dashboards and scorecards, automated financial reporting, and imported data from SQL/Azure DBs to support analytics and client investment research.
Education
Degrees, certifications, and relevant coursework
Pace University, Seidenberg School of Computer Science and Information Systems
Master of Science, Information Systems
Completed a Master of Science in Information Systems emphasizing data analytics, systems, and information management.
National Institute of Science and Technology
Bachelor of Technology, Electrical & Electronics Engineering
Completed a Bachelor of Technology in Electrical & Electronics Engineering with foundational training in engineering principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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