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Data Engineer with less than a year in ELT pipeline design & BI reporting.
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Assessing your cultural and operational fit
B.Tech IT student (graduating 2027) with internship experience and self-driven projects across ELT pipeline design, dimensional modeling, and BI reporting. Built production-pattern data systems on Databricks, BigQuery, and AWS S3 from raw ingestion through medallion architecture to star-schema outputs consumed by Tableau.
ABES Engineering College, Ghaziabad
B.Tech · Information Technology
N/A – June 30, 2027
Nest N Wings
Data Engineering Intern
January 1, 2026 – April 1, 2026
India
Olist Data Pipeline & Analytics Dashboard
May 1, 2026 – May 1, 2026
Designed a layered dbt data model (staging → fact → marts) with a central fact_orders table at order-level grain joined to 4 dimension tables (customers, sellers, products, dates), enabling accurate multi-dimensional analysis across 100K+ e-commerce orders. Built an end-to-end ELT pipeline (AWS S3 → Snowflake → dbt → Tableau) with incremental models, dbt snapshots for slowly changing customer records, and automated not null / unique data quality tests ensuring analytics reliability.
View ProjectFMCG Data Engineering Pipeline
December 1, 2025 – December 1, 2025
Implemented a Bronze→Silver→Gold ELT pipeline on Databricks with full-load and incremental ingestion (UPSERT); Silver-layer quality checks caught ~4.8% duplicate rows and ~3.1% null/invalid records before Gold promotion. Designed a star schema (fact_orders + 3 dimension tables) with grain-level contracts across sales, customers, products, and pricing, eliminating metric ambiguity across 4+ reporting use cases. Automated a nightly Databricks Workflow with sequential notebook execution and failure alerting, producing analytics-ready Delta tables consumed by a live dashboard.
View ProjectSupply Chain Performance Analytics & Forecasting
September 1, 2025 – September 1, 2025
Processed 180K+ order records end-to-end from BigQuery transformation to Tableau, delivering KPIs on delivery delays, fulfillment rates, and regional sales via CTE-based logic and window functions (RANK, LAG). Engineered reusable SQL transformation logic standardising metrics across 6+ reporting dimensions, including MoM trend analysis and delivery delay attribution by region and carrier. Trained a Prophet demand forecasting model on 18 months of order history; exposed outputs through a parameter-driven Tableau dashboard for inventory planning scenario analysis.
View ProjectDatabricks Lakehouse Fundamentals
Databricks
June 1, 2026 – Present
AWS Academy Cloud Architecting (Trained)
AWS Academy
June 1, 2026 – Present
Big Data Computing
NPTEL, IIT Kanpur
November 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, covering supply chain, FMCG, and e-commerce domains, indicates adaptability and a broad interest in applying data engineering principles across different industries. Their focus on building robust, analytics-ready data systems aligns well with a data-driven culture. The certifications in Big Data Computing and AWS Cloud Architecting show a commitment to continuous learning and staying updated with industry trends, which is a positive cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, tackling complex data challenges like demand forecasting and supply chain analytics. Their ability to design and implement end-to-end data pipelines suggests good operational thinking and attention to detail. The project descriptions indicate a proactive and self-driven individual capable of independent work.