Lathendra Uddaraju's Email & Phone Number

💼 Past Experience

Lathendra Uddaraju has over 10 years of experience in big data engineering and data pipeline design. She is a Senior Big Data Engineer at Microsoft from October 2012 to July 2015 in Greater Seattle Area. Lathendra has experience in big data platform design, data pipeline designing, analytical reporting, building Azure Data lakes and likewise. She became a Senior Data Engineer at Terabytes scale data warehouses, focusing on data storage layer, optimizing disk layout for better performance and faster queries. She is also a facilitator of insightful daily analysis of around 60-80 terabytes of log files from external parties. Lathendra is also responsible for developing and deploying SQL Tabular Models for self service BI reports to Business and Product Owners for critical decision making. Lathendra has code reviews to conform the quality assurance processes with emphasis on identified architecture and coding standards. Lathendra is also a Senior Software Engineer at Minvesta Infotech Limited from August 2008 to April 2010 in Hyderabad Area, India. She is responsible for designing and developing SQL Tabular Models for self service BI reports to Business and Product Owners for critical decision making. Lathendra also works with key business representatives, data owners and data architects to analyze and report data. Lathendra is a Technical Lead at IGATE from April 2012 to September 2012 (6 months) in Greater New York City Area. Lathendra is also a Senior Architect at Google in San Francisco Bay Area.

🎓 Education

Lathendra Uddaraju has a Bachelor's degree from Andhra University. She has also completed an instilment course in physiotherapy. This native of Vellore city has also completed an online shell course in accounting and graphic design.

💡 Technical & Interpersonal Skills

Lathendra Uddaraju's strong technical and interpersonal skills have led her to a long and successful career in software engineering. She has worked with a range of systems from big data to streaming data, and she has always had a knack for pairing up best practices with practical application to create successful and scalable systems.Lathendra is also highly hands-on, and she is well-versed in data-processing and data-managemen