Srinivasa Gunnala

Srinivasa Gunnala

Data Engineer /Machine Learning Engineer @ TELUS

About Srinivasa Gunnala

Srinivasa Gunnala is a Data Engineer and Machine Learning Engineer at TELUS in the Greater Toronto Area, Canada, with extensive experience in data-driven solutions and cloud technologies.

Professional Title and Current Role

Srinivasa Gunnala currently serves as a Data Engineer and Machine Learning Engineer at TELUS, located in the Greater Toronto Area, Canada. His responsibilities include leveraging his expertise to design, model, and build data-driven solutions.

Previous Work Experience

Before joining TELUS, Srinivasa Gunnala amassed extensive experience in various roles over the years. He served as a Technical Lead at Wipro Technologies from 2014 to 2020 in Hyderabad, India. Prior to that, he worked at ADP India as a Senior Member Technical from 2010 to 2014. His professional journey began at Capgemini, where he was an Associate Consultant from 2007 to 2010.

Educational Background

Srinivasa Gunnala holds a Post Graduate Diploma in Big Data Analytics and Artificial Intelligence, which he earned from the International School of Engineering (INSOFE) from 2018 to 2019. He also completed his Bachelor of Technology (BTech) in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University in 2006.

Technical Skills and Expertise

Srinivasa Gunnala is proficient in a variety of technologies including SAP BW/ECC, Spark/Databricks, Apache Airflow, and Azure Data Bricks/Data Lake. He has significant experience in on-premises to cloud migrations, the Hadoop & Big Data ecosystem, and DevOps CICD on cloud platforms. His skills also include data profiling, quality, and enrichment, as well as data governance and metadata management.

Project Leadership and Methodologies

Srinivasa Gunnala has a proven track record of leading projects that focus on data-driven solutions. He applies data cleaning and conforming techniques to enhance decision-making processes. Additionally, he is involved in tool evaluation and adheres to Agile methodology and Scrum practices.

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