Data Engineer with 6+ years in Data Warehousing & Cloud Platforms
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Assessing your cultural and operational fit
Highly skilled and results-oriented Senior Data Engineer with 6.0 years of extensive experience in designing, building, and optimizing scalable data solutions. Proven expertise in migrating large datasets to cloud-based data warehouses like Snowflake and Redshift, developing complex ETL/ELT pipelines using tools such as Talend and Azure Data Factory, and implementing real-time data ingestion strategies. Proficient in Python, SQL, and cloud platforms like AWS and Azure, with a strong focus on data governance, performance optimization, and CI/CD automation to deliver robust and efficient data ecosystems.
Southern Arkansas University
Masters · Computer and Information Science
August 1, 2023 – June 30, 2024
VISA, CA
Senior Data Engineer
January 1, 2024 – Present
California, USA
TCS, India
Data Engineer I
April 1, 2021 – December 1, 2022
India
ALSOFT, India
Data Engineer I
June 1, 2019 – March 1, 2021
India
Microsoft Certified - Azure Data Engineer Associate
Microsoft
June 1, 2026 – Present
Snowflake Certified SnowPro Core Certification
Snowflake
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse environments (VISA, TCS, ALSOFT) and across multiple cloud platforms and data technologies, indicating adaptability and a broad skill set. The experience aligns well with a senior Data Engineer role requiring versatility and a strong understanding of modern data ecosystems. The certifications further demonstrate a commitment to professional development.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership in data migration projects and a proactive approach to performance optimization. The detailed descriptions of project contributions suggest good problem-solving and analytical skills. However, without direct interview data, specific soft skills like teamwork, communication style, and adaptability cannot be fully assessed.