Tejaswi Surapaneni
@tejaswisurapaneni
Experienced Data Engineer and Architect with AWS certification.
What I'm looking for
With over 12 years of experience in application development, data engineering, and analysis, I am a seasoned software professional specializing in engineering compliance, project delivery, and data management. My expertise lies in designing scalable data architectures and implementing efficient ETL pipelines, particularly within AWS environments.
At Apple Inc., I have successfully led projects that involve building data lakes and warehouses using Snowflake and Amazon Redshift, optimizing performance through advanced schema techniques. My role as a Collaboration Lead has honed my skills in fostering teamwork and ensuring high-quality data delivery, achieving an acceptance rate above 95%. I am passionate about leveraging data to drive insights and improve operational efficiency.
Experience
Work history, roles, and key accomplishments
Sr. Big Data Engineer
Apple Inc
Apr 2014 - Present (11 years 2 months)
As a Sr. Big Data Engineer, I designed and implemented scalable data warehouse models in Snowflake and built efficient ETL pipelines using AWS services. I also developed real-time data processing pipelines and collaborated with operations to ensure high-quality data delivery.
Software Engineer
Tata Consultancy Systems
Feb 2010 - Nov 2011 (1 year 9 months)
In my role as a Software Engineer, I designed and developed RESTful APIs using Java and extensively utilized SQL for complex queries and data modeling.
Education
Degrees, certifications, and relevant coursework
NorthWestern Polytechnic University
Master of Science, Information Technology
2013 - 2014
Pursued a Master of Science in Engineering with a focus on Information Technology, gaining advanced knowledge in data engineering and software development.
GITAM University
Bachelor of Science, Electronics & Communication Engineering
2005 - 2009
Completed a Bachelor of Science in Engineering, specializing in Electronics and Communication Engineering, which provided a strong foundation in engineering principles and practices.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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