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Data Engineer with less than a year in Azure Data Engineering & Power BI.
Results-driven Data Engineering student with hands-on experience building end-to-end Azure pipelines using Azure Data Factory, ADLS Gen2, Azure Databricks, and Azure Synapse Analytics. Proficient in PySpark distributed transformation, ETL/ELT workflows, and Medallion Architecture (Bronze-Silver-Gold). Skilled at building Power BI dashboards that translate data into actionable business intelligence. Seeking a Data Engineering Internship to deliver scalable, cloud-native pipeline solutions.
MIT Polytechnic, Pune
Diploma · Information Technology
August 1, 2021 – June 30, 2023
Marathwada Mitra Mandal's College of Engineering, Pune
Bachelor of Engineering · Electronics & Telecommunication
N/A – June 30, 2024
REBOOTCAS
Back-End Developer Intern
June 1, 2023 – July 1, 2023
Pune, Maharashtra, India
OlympusX – End-to-End Azure Data Engineering Platform
June 20, 2026 – Present
Architected an end-to-end Azure data pipeline integrating ADF, ADLS Gen2, Databricks, Synapse Analytics, and Power BI to ingest and analyse Olympic datasets at enterprise scale. Engineered metadata-driven, parameterised ADF ingestion pipelines that dynamically adapt to schema changes, reducing pipeline maintenance by ~40%. Implemented Medallion Architecture (Bronze / Silver / Gold) with incremental loading; automated GitHub-to-ADLS Gen2 ingestion via ADF trigger-based orchestration, eliminating manual loads. Executed distributed PySpark transformations on Databricks clusters; loaded curated Gold-layer data into Synapse Analytics SQL pools for high-performance analytical queries. Built interactive Power BI dashboards surfacing Olympic KPIs for data-driven stakeholder decisions; maintained full version control via GitHub branching workflows.
View ProjectGlobal Sales Dashboard
June 20, 2026 – Present
Developed an interactive Global Sales Dashboard in Power BI centralising performance analysis across regions, product lines, and time periods, replacing fragmented spreadsheet reporting. Integrated multi-source data via Power Query and SQL; applied DAX measures for aggregated metrics and built dynamic visualisations (KPIs, geo-maps, drill-throughs) to surface actionable insights.
View ProjectCredit Card Transaction Analysis Dashboard
June 20, 2026 – Present
Designed a Power BI dashboard analysing 650K+ transactions; built SQL/Excel data-cleaning pipelines ensuring 100% data accuracy for downstream reporting. Tracked $55M+ total revenue and $7.8M interest income via dynamic KPIs; performed customer segmentation by card type and profile to identify key revenue drivers.
View ProjectEY Technology Risk Virtual Job Simulation
Forage
March 1, 2026 – Present
Deloitte Australia Data Analytics Job Simulation
Forage
February 1, 2026 – Present
Commonwealth Bank Introduction to Data Science Job Simulation
Forage
January 1, 2026 – Present
Achieved a perfect score, indicating comprehensive knowledge and practical expertise in Azure Data Engineering, including Databricks DLT, streaming, and cost considerations.
Strengths
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from end-to-end Azure data platforms to specific dashboard creations, indicates a broad interest in data engineering and analytics. The internship experience, though short, shows exposure to a professional development environment. The candidate's self-driven learning through certifications and personal projects demonstrates initiative and a growth mindset, which are positive indicators for cultural fit in a dynamic technical team. The target role 'Python / SQL – CrateDB Intern' aligns well with the candidate's existing Python and SQL skills, and the strong data engineering background suggests a quick ramp-up for CrateDB specifics.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a results-driven approach and attention to detail (e.g., 'reducing pipeline maintenance by ~40%', 'ensuring 100% data accuracy'). The experience as a Back-End Developer Intern suggests an ability to work on client-facing products and validate work thoroughly. The certifications from Forage indicate a proactive attitude towards professional development and an interest in data science and analytics, which aligns well with a data-focused role. The candidate's ability to articulate complex technical projects suggests good communication skills, although the English test score is moderate.
Limitations
Achieved a perfect score, demonstrating a complete understanding of fundamental and advanced data engineering concepts related to data platforms.
Strengths
Limitations