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Data Engineer with 2+ years in data processing & BI solutions.
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Assessing your cultural and operational fit
Passionate Software Engineer with expertise in data engineering, and BI solutions. Committed to continuous learning and growth, I bring enthusiasm to working on exciting projects, transforming complex data into actionable insights, and building scalable solutions that support data-driven decision-making.
Procter & Gamble
Data Engineer
April 1, 2024 – Present
India
Dot Labs
Data Engineer
September 1, 2023 – March 1, 2024
India
Procter & Gamble Projects
June 1, 2026 – Present
Designing and executing Python-based ETL pipelines in Databricks to calculate PXMs (e.g., P1M, P2M sales) across multiple categories and markets. Utilizing Pandas and modular Python functions for precise data transformation, schema validation, and business logic alignment. Managing scalable data ingestion and traceability using Azure Blob Storage integrated with Databricks workflows. Delivering stakeholder-facing dashboards in Power BI, translating complex metrics into actionable insights with clarity and business relevance. Collaborating with cross-functional teams to ensure technical accuracy, auditability, and alignment with gold-layer analytics standards.
Pure Harvest
June 1, 2026 – Present
For the Pure Harvest project, we use Pandas for web scraping data. We utilize AWS S3 and Redshift as storage solutions for the gathered data. Subsequently, I leverage Power BI for visualization, ensuring comprehensive and insightful representation of the data for stakeholders.
Hershey's
June 1, 2026 – Present
Developing scalable data pipelines using Python, BigQuery, and DBT to support multi-market analytics across Hershey's product portfolio. Calculating key performance metrics including last year sales, PXMs (e.g., P1M, P2M), and market share to drive strategic insights. Automating data transformations and model dependencies in DBT, ensuring modularity, traceability, and business logic alignment.
Sentiment Analysis of Text Reviews
June 1, 2026 – Present
Applied Machine Learning Technique (Logistic Regression) for Binary Class Classification.
Health Care Data Analysis
June 1, 2026 – Present
This project aimed to analyze healthcare data to gain insights into patient details. The analysis was conducted using MS Excel and Tableau.
Mysql
Hackerrank
June 1, 2026 – Present
Data Engineering
Devsinc
June 1, 2026 – Present
Node.js and Express
Programming with Mosh
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has professional experience across multiple companies (Procter & Gamble, Dot Labs) and diverse projects (consumer goods, web scraping, healthcare data analysis), indicating adaptability and a broad range of interests. The academic projects also show a foundational understanding of data analysis and machine learning. The skills listed (Python, SQL, Databricks, Azure, AWS, BigQuery, Power BI, DBT) align well with a modern data engineering role, suggesting a good cultural fit for organizations valuing diverse technical exposure and practical application.
Soft Skills & Operational Fit
The candidate's profile highlights a commitment to continuous learning and growth, and enthusiasm for transforming complex data into actionable insights. Project descriptions indicate collaboration with cross-functional teams, suggesting good teamwork and communication skills. The focus on delivering stakeholder-facing dashboards implies an understanding of business relevance and effective data communication.