Data Engineer with less than a year in Azure Data Engineering & Power BI.
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Assessing your cultural and operational fit
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 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 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 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.
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.
Strengths
Limitations
Achieved a perfect score, demonstrating a complete understanding of fundamental and advanced data engineering concepts related to data platforms.
Strengths
Limitations