Manikanth Shankari
Data Analyst @Toyota Motor Corporation
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WORK HISTORY
Data Analyst @Toyota Motor Corporation
US
Migrated critical datasets from an Oracle database to Snowflake, utilizing Azure Data Factory (ADF) for efficient ETL processes, datascalability, query performance and data orchestration.• Engineered data pipelines in Azure Databricks, leveraging Python and SQL to replicate and enhance Snowflake-based reporting logicin the cloud, ensuring seamless integration with Power BI and smooth transition to a cloud-based data warehousing solution.• Worked with Hive on top of Hadoop for executing SQL queries and managing large datasets residing in distributed storage.• Developed Data Ingestion tool (Data Lake as a Service) that handles full and incremental load using Talend, Tool ingests diverse dataobjects (Oracle, MongoDB, PostgreSQL, CSV, XML files) into Data Lake built on Azure Data Lake Gen 2
EDUCATION
GITAM Deemed University
Bachelor of Technology - BTech, Computer Science
University of Cincinnati - College of Engineering and Applied Science
Master of Science - MS, Computer Science
ABOUT MANIKANTH SHANKARI
Driven and results-oriented Data Analyst and Cloud Computing Professional with expertise in AWS, Azure, and Big Data technologies. With [Total Years of Experience], I excel at developing scalable data-driven solutions that transform business operations. Notable achievements include leading cloud migrations, enhancing data processing pipelines by 40%, and automating data workflows.Key Skills: Cloud Platforms (AWS, Azure, GCP), Big Data Tools (Apache Spark, Kafka, Hive), Data Analysis (Python, R, SQL), Data Visualization (Tableau, Power BI), Machine Learning, and AI Development.Notable Achievements: Improved data pipeline performance by 40%, developed automation frameworks reducing manual processing by 60%, and led AI-driven accessibility initiatives boosting user engagement by 30%.Current Responsibilities:Designing advanced data architectures, driving cloud migrations, and conducting predictive data analyses for better decision-making.Passions: Data-driven innovation, emerging cloud technologies, and fostering team collaboration.Career Goals: To drive innovation in data and cloud solutions while advancing expertise in AI-powered systems.
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