Keshitha K. Email & Phone Number

• Nearly 3 years professional experience in Google Cloud Platform, Dashboarding, Data modelling & Engineering and API-based data scripting.• Data Engineer with demonstrated ability in designing and building scalable Data Pipelines to solve complex business problems involving large scale data warehousing, real-data analytics and reporting solutions. • Proficient knowledge in R and Python programming, Hadoop and Spark Ecosystem, Exploratory Data Analysis, Structured Machine Learning algorithms• Proficient knowledge in statistics, mathematics, and analytics with excellent understanding of business operations for effective analyses of data.• Experienced in migrating data and databases from on-prem infrastructure to GCP data ecosystem. Raw data transferred to GCP Bucket and processed by Cloud functions, DataProc, Pub/Sub pipelines and then stored in Bigquery• Excellent in Ingestion of Large Datasets using Python, writing Python codes to automate the interaction, and downloading of data as per the data frequency from RESTful API, GCP environments, FTP servers or any client-side application which act as a data source. • Skilled in setting up Data Lake in Azure and setup Kafka messaging between Azure Data Lake and trusted third party providers in maintaining hash tables on Oracle DB.• Skilled in design and development of various dashboards, reports utilizing Tableau and Power BI Visualizations like bar graphs, scatter plots, pie-charts, geographic visualization and other making use of actions, other local and global filters according to the end user requirement.• Experienced in using analytical techniques on large data sets for delivering ad hoc analysis and development of business intelligence. Advanced Looker user to analyze the data, develop Dashboards and to generate sophisticated reports to exhibit data visualization results.• Experienced in developing, maintaining, and processing large databases with complex relationships between tables. Authored several advanced SQL queries for extracting relevant data for predictive analytics. • Worked in Agile environment and exhibited strong communication skills and a keen understanding of project timelines and dependencies.