Savitha Baskaran Email & Phone Number
@amazon.com
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Who is Savitha Baskaran? Overview
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Savitha Baskaran is listed as Senior Data Engineer | Amazon | Data, Advance analytics and AI at Amazon, based in Columbus, Indiana, United States. AeroLeads shows a work email signal at amazon.com and a matched LinkedIn profile for Savitha Baskaran.
Savitha Baskaran previously worked as Senior Data Engineer at Amazon and Data Engineer at Amazon. Savitha Baskaran holds Master’S Degree, Computer Science from Indiana University Indianapolis.
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About Savitha Baskaran
5+ years of IT experience in design and implementation of efficient data pipelines and business applications with thorough knowledge in Java, Big Data, Hadoop Eco System and RDBMS related technologies.Working on Big Data cloud infrastructure for batch processing as well as real-time processing. Responsible for building scalable distributed data solutions using Databricks and Hadoop clusters.Basic Knowledge in Machine Learning (Linear Regression, logistic regression, Clustering, Classification, and Decision Tree).Ability to quickly master new concepts and applications.Strong knowledge in development of Object Oriented and Distributed applications.Excellent interpersonal skills, good experience in interacting with clients with good team player and problem solving skills.Ability to take initiative, identify opportunities and implement changeGood knowledge in Azure technologies- Azure Data Lake, Azure Data Factory, HD Insights.
Listed skills include Sql, Data Analysis, Business Analytics, Microsoft Excel, and 22 others.
Savitha Baskaran's current company
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Savitha Baskaran work experience
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Data Engineer
Current
Data Engineer, Analytics & Artificial Intelligence
Project name : Real-time data ingestion and ETL process of Iot edge devices that sends engine data to the Azure cloudLeading the project to design and implement end to end data pipeline solution for ingesting the real time streaming dataset from IoT devices.Enabled the structured streaming solution to pull live message from the Amazon AWS/SQS and ingest into the azure data lake.Handled very large dataset in real time that sends upto 500K unstructured files per day with 20K unique parameters.Applied multiple optimization techniques on the delta tables to improve the performance of the streaming pipeline.Conducted end to end stress/load testing to test the solution for various input loads before productionizing.Designed and implemented the audit and alert mechanism to capture key logs on the data status of each files and visualized results in powerBI.Lead the data engineering team to handle all the IoT data coming from different data sources and provide continous support to the ongoing data pipelines.Collaborate with (internal stakeholders) the upstream and downstream teams to ingest data from various data sources to support data scientist and business analytics needs.Continuously look for improvements within the team and identify the gap within data quality, alert mechanism and data reconciliationComplete various courses from databricks learning path for data engineer using spark scala and spark SQL.
Data Engineer, Advance Analytics
Worked on ingesting complex dataset from various Cummins data sources such as IoT data sources, oracle source, SFTP, Salesforce and SQL.Ability to optimize SQL queries for huge volume of data.Worked on the advance analytics product tool to detect and solve failure modes that cause unexpected downtime performance across mining and XBL engine population and issues leading to catastrophic damage.Owned the weekly data pipeline refresh for business-critical projects over several weeks that enabled the business to get updated data weekly and taken responsibility to migrate the entire product to the production support team.Created and maintaining end to end data engineering pipelines from RAW to REPORTING layer for new data sources in SPARK SCALA to create reports in SQL DB to fullfill the business requirement.Successfully Orchestrated and Scheduled workflow with ~100 Hadoop jobs across platforms e.g. Databricks and HDInsight.Worked as a part of the agile scrum team to achieve the product goal and in release of incremental deliverables to the customers on time. Aided from data engineer perspective to take critical technical decision.
Software Developer
Developed web application interface and code behind using C# and Microsoft SQL server for complex business requirements.Developed a fully automated ERP system to streamline multiple functionalities across the organization and manage the data using Microsoft Azure Storage.Created complex XML, EDI translator and parser using C# web services.
Research Assistant
Research, Visualization Lab(May 2015 – Dec 2016)Developed a new geo-visualization algorithm for spatio-temporal data using time curves in two-dimensional space and published the paper in IEEE journal wth title “Spatiotemporal Visualization of Traffic Paths Using Time Curves in Color Space”Improved algorithm efficiency by implementing parallellization of the streaming dataset based on different time components to visualize trends and analyze patterns.
Big Data Intern
Developed and successfully deployed framework to measure and analyze performance of concurrent queries using Vertica big data analytic database and services, strategy to calculate query efficiency and visualize test performance statistics.Progressively accomplished features from prototype, design, coding, unit and integration testing.Built a comprehensive Looker dashboard that serves as an interactive front-end UI to display the results and to visualize the concurrent query performance using bash script, kafka, Looker, VSQL. Worked using Jenkins to run automated scripts and employed Git plugin for continous integration.
Data Analyst
Drafted key performance indicators and automated one stop dashboard to measure various holistic views of campaign performance.Hands-on experience in Teradata, SQL, R, SAS, Tableau, and Python for end to end data mining, business analysis, data visualization and interpretation.Expertise in handling big data and optimizing SQL queries.Led team of 6 members for a new marketing campaign initiative to analyze business requirements.Communicated actionable insights and provided recommendations to help marketers develop strategic decisions.Experience in various machine learning algorithms such as customer profiling and segmentation, clustering techniques, linear and logistic regression model, time series forecasting.Analyzed A/B tests on website, aimed at improving user engagement and consumer acquisition.
Savitha Baskaran education
Master’S Degree, Computer Science
Bachelor Of Engineering (Beng), Information Technology
High School, Computer Science
Frequently asked questions about Savitha Baskaran
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What company does Savitha Baskaran work for?
Savitha Baskaran works for Amazon.
What is Savitha Baskaran's role at Amazon?
Savitha Baskaran is listed as Senior Data Engineer | Amazon | Data, Advance analytics and AI at Amazon.
What is Savitha Baskaran's email address?
AeroLeads has found 1 work email signal at @amazon.com for Savitha Baskaran at Amazon.
Where is Savitha Baskaran based?
Savitha Baskaran is based in Columbus, Indiana, United States while working with Amazon.
What companies has Savitha Baskaran worked for?
Savitha Baskaran has worked for Amazon, Cummins Inc., Kpaul, Indiana University–Purdue University Indianapolis, and Hewlett Packard Enterprise.
How can I contact Savitha Baskaran?
You can use AeroLeads to view verified contact signals for Savitha Baskaran at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Savitha Baskaran attend?
Savitha Baskaran holds Master’S Degree, Computer Science from Indiana University Indianapolis.
What skills is Savitha Baskaran known for?
Savitha Baskaran is listed with skills including Sql, Data Analysis, Business Analytics, Microsoft Excel, Databases, Reporting And Analysis, Sas Programming, and Campaigns.
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