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Data Engineer with less than a year in Data Engineering & Cloud Platforms
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Results-driven Data Engineer and Analyst with 1 year of production-grade experience designing scalable ETL/ELT pipelines, cloud data platforms, and business intelligence solutions that directly support analytics and AI initiatives. Proficient in Microsoft Fabric, Azure Synapse Analytics, Databricks, SQL, Python, PySpark, and Power BI. Demonstrated ability to deliver high-quality data models and pipeline architectures that enable business decision-making and drive measurable operational outcomes. Holds a PG Diploma in Big Data Analytics (CDAC) from Sunbeam Institute of Technology.
CDAC Sunbeam Institute of Technology, Pune
PG Diploma in Big Data Analytics
August 1, 2024 – June 30, 2025
JSPM'S JSCOE, Pune
BE · Electronics and Telecommunications
August 1, 2020 – June 30, 2024
DataPhi-AI
Data Engineer & Analyst
September 1, 2025 – May 1, 2026
India
Logistics Data Engineering Pipeline
January 1, 2025 – December 31, 2025
Built a control table-driven ETL/ELT pipeline processing 2M+ records across 14 tables using Azure Synapse and Databricks, designing a scalable 3-layer dimensional data model architecture (Landing → Transient → Curated) that reduced data processing time by 45% and enabled reliable downstream analytics. Integrated Delta Lake, automated pipeline triggers, and Azure Key Vault for secure, resilient execution, demonstrating the same architectural patterns used in production financial services data platforms.
View ProjectCustomer Spending & Credit Insights - Power BI Dashboard
January 1, 2025 – December 31, 2025
Developed a 3-page self-service Power BI dashboard analyzing 2M+ customer transaction records across credit and spending categories, directly analogous to credit card and personal loan analytics in financial services environments. Engineered 70+ DAX measures for KPI tracking, year-over-year trend analysis, and customer segmentation; implemented drill-through reports and dynamic slicers enabling business teams to conduct self-service analytics without engineering support.
Databricks Data Engineer Associate Certification
Databricks
June 1, 2026 – Present
Fundamentals of Artificial Intelligence & Machine Learning
VOIS
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's experience across customer analytics and transaction intelligence domains, coupled with academic projects, shows a diverse application of data engineering skills. Their proactive approach to learning (PG Diploma, certifications) and problem-solving indicates a growth mindset. The blend of technical depth and business-oriented project delivery suggests a good fit for roles requiring both technical expertise and stakeholder interaction.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through diagnosing and resolving critical incidents and proactively engineering recovery mechanisms. Their experience in stakeholder engagement and translating technical data into business insights indicates good communication and collaboration abilities. The focus on reducing manual effort and improving efficiency aligns well with operational excellence.