Data Engineer with less than a year in Python, SQL, and Cloud Platforms
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Assessing your cultural and operational fit
Data Engineer with a strong foundation in Python, SQL, and modern cloud platforms. Experienced in building scalable ETL pipelines, data models, and analytics-ready datasets using Snowflake, dbt, and AWS. Strong focus on performance optimization and data quality.
P.E.S. College of Engineering, Mandya
B.E. · Information Science & Engineering
N/A – June 30, 2025
Employability.life
RPA Intern
November 1, 2024 – March 1, 2025
India
Airbnb Data Engineering Pipeline
January 1, 2026 – February 1, 2026
Built a scalable Medallion Architecture pipeline (Bronze → Silver → Gold) to process Airbnb listings, bookings, and hosts data from AWS S3 into Snowflake, ensuring structured and analytics-ready datasets. Implemented dbt transformations including incremental models and SCD Type 2 snapshots, while designing fact tables and One-Big-Table (OBT) models with lineage tracking, testing, and dependency management. Optimized data pipelines using Snowflake warehousing, clustering, and ephemeral models while enforcing data quality checks (unique, not-null, referential integrity, business rules) for efficient and trustworthy analytics.
Sales & Shipment Analytics
October 1, 2025 – December 1, 2025
Modeled and analyzed global sales and shipment data, improving reporting efficiency by 40%, and built advanced DAX KPIs including MoM (+12%), YoY (+18%), and ~27% profit margin for performance tracking. Designed an interactive Power BI dashboard with drillthrough, slicers, and dynamic KPI switching, reducing manual analysis time by 35% and enabling faster regional and product-level insights. Discovered key business trends such as 22% higher profits in top regions and 15% logistics cost variance, supporting data-driven decisions for shipping optimization and forecasting.
Cyber Security Fundamentals
Zscaler
June 1, 2026 – Present
NPTEL Certifications 2025 - Python Programming, IoT & Cloud Computing
NPTEL
January 1, 2025 – Present
Best Final Year Project – 2025, PES College
PES College
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying modern data engineering practices (Medallion Architecture, dbt, Snowflake). The RPA internship shows versatility and an interest in process automation. The NPTEL certifications in Python, IoT, and Cloud Computing, along with a Cyber Security Fundamentals certification, indicate a broad interest in technology and continuous learning, which aligns well with a dynamic data engineering environment. The 'Best Final Year Project' award suggests a drive for excellence and innovation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems, optimize processes, and deliver data-driven insights. The RPA internship suggests an aptitude for automation and efficiency. However, without specific psychometric or English test results, it's difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration beyond what's inferred from project descriptions.