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Snowflake Developer with 4+ years in Data Engineering & Cloud Data Warehousing
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A motivated and detail-oriented developer with in-depth knowledge of SQL, Snowflake, and data integration tools, seeking a position in a growth-oriented organization where I can apply my database development skills to enhance data infrastructure while continuing to learn and grow in cloud-based data technologies.
Sri Venkateswara University College of Engineering
B.Tech
N/A – June 30, 2022
TCS
Snowflake Developer
January 1, 2022 – Present
India
London Stock Exchange
August 1, 2022 – June 1, 2026
The London Stock Exchange (LSE) is one of the world's oldest and largest stock exchanges, providing a global marketplace for trading equities, bonds, derivatives, and other financial instruments. It supports capital raising, trading, clearing, and market data services for companies and investors worldwide. LSE operates highly scalable and secure platforms that handle high-volume, low-latency transactions, strict regulatory compliance, and real-time market data dissemination. It serves a wide range of participants including listed companies, institutional investors, brokers, and market makers.
Coinstar
January 1, 2022 – July 1, 2022
The Coinstar project focused on supporting business reporting and analytics by building and maintaining a centralized data and reporting platform. The project involved working with structured data from multiple source systems and transforming it into organized reporting tables using SQL. Worked as a SQL Developer responsible for designing, developing, and optimizing complex SQL queries to support reporting and analytics needs. Developed stored procedures, views, functions, and CTEs for data transformation and business logic implementation. Performed data extraction and transformation (ETL support) from multiple source systems into reporting tables. Created and maintained fact and dimension tables following star and snowflake schema principles. Optimized SQL queries using indexes, partitioning, query tuning, and execution plan analysis to improve performance. Worked on data validation, reconciliation, and data quality checks to ensure accuracy and consistency. Supported financial and operational reports, including daily, weekly, and monthly metrics. Collaborated with business analysts and stakeholders to understand reporting requirements and translate them into SQL solutions. Assisted BI teams by providing SQL datasets for dashboards and ad-hoc analysis. Handled production support, issue investigation, and performance troubleshooting. Ensured adherence to data governance and security standards.
Cultural Fit Analysis
The candidate's experience across different projects (London Stock Exchange, Coinstar) and exposure to various technologies (Snowflake, AWS, Oracle, SQL Server, DBT, Airflow) suggests adaptability and a broad technical interest. The focus on data warehousing and analytics aligns well with typical data-driven organizational cultures. The mention of working with financial institutions (LSE) implies an understanding of regulated environments.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with business analysts and stakeholders, handle production support, and work under time constraints, indicating a good operational fit. The resume also mentions being an effective team player.