I am looking for a challenging and rewarding project that involves data engineering using Snowflake and Azure technologies. I am interested in working with a supportive and collaborative team that values communication, feedback, and learning. I am also looking for a company that has a clear vision, mission, and values, and is committed to innovation and excellence.
Shailesh Chalke
@shaileshmchalke
Senior Data Engineer with 9+ years of experience specializing in Snowflake cloud data solutions.
IndiaWhat I'm looking for
A highly skilled Snowflake Data Engineer with over 9 years of experience in designing, implementing, and optimizing data warehouse solutions. Proven ability to deliver high-quality results across diverse data environments, including cloud platforms and on-premise systems. Expertise in:
Snowflake Expertise: Successfully migrated a massive 3TB data warehouse to Snowflake, resulting in increased scalability, reduced maintenance costs, and improved data accessibility for business users.
ETL/ELT Development: Skilled in building efficient ETL processes using Python, SQL, and Snowflake functionalities to ensure accurate and timely data movement and transformation.
Performance Optimization: Possess a strong understanding of performance tuning techniques, having achieved a 75% optimization in query execution times within the Snowflake environment.
Data Security & Governance: Prioritize data security and adhere to compliance standards. Implemented robust access controls and encryption protocols using Snowflake's security features.
Enthusiastic about leveraging data engineering skills to solve complex challenges and empower data-driven decision making. I thrive in collaborative environments that foster continuous learning and innovation in cloud technologies.
Experience
Developed and optimized 50+ Snowflake cloud data pipelines, ETL processes, and workflows to enable analytics-ready data, reducing processing time by 40%. Designed and deployed Snowflake data models and architecture, handling daily active users and meeting complex operational reporting requirements. Migrated legacy on-prem data warehouses to Snowflake platform.
Developed and implemented data warehouse and integration solutions using Snowflake and ETL tools, ensuring efficient data acquisition, transformation, and loading processes. Utilized Spark and Databricks to build robust data pipelines for efficient data ingestion and transformation. Developed and maintained advanced Unix Shell scripts, contributing to efficient data workflows.
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