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Kavitha Maddukuri

Cloud Big Data Engineer

Cloud Big Data Engineer at Splunk

San Francisco Bay Area

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Kavitha Maddukuri's Email Addresses & Phone Numbers

Kavitha Maddukuri's Work Experience


Cloud Big Data Engineer

San Francisco Bay Area


Senior Data Engineer

June 2018 to November 2019

San Francisco Bay Area

CSE Insurance Group

Senior Business Intelligence Specialist

May 2015 to September 2015

San Francisco Bay Area

Kavitha Maddukuri's Education

Jawaharlal Nehru Technological University

Bachelor's degree, Computer Science engineering

1999 to 2003

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About Kavitha Maddukuri's Current Company


Frequently Asked Questions about Kavitha Maddukuri

What company does Kavitha Maddukuri work for?

Kavitha Maddukuri works for Splunk

What is Kavitha Maddukuri's role at Splunk?

Kavitha Maddukuri is Cloud Big Data Engineer

What is Kavitha Maddukuri's personal email address?

Kavitha Maddukuri's personal email address is ka****[email protected]

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Kavitha Maddukuri's business email addresses are not available

What is Kavitha Maddukuri's Phone Number?

Kavitha Maddukuri's phone (**) *** *** 106

What industry does Kavitha Maddukuri work in?

Kavitha Maddukuri works in the Information Technology and Services industry.

Who are Kavitha Maddukuri's colleagues?

Kavitha Maddukuri's colleagues are Kurt Thompson, Matt Simpkins, Len Buschman, Kelvin Yeung, Michael K., Abhishek Agarwal, Jannifer Hau, Suresh Ravi, Sarah Rio, and Shiv Mohan

About Kavitha Maddukuri

📖 Summary

Cloud Big Data Engineer @ Splunk San Francisco Bay AreaSenior Data Engineer @ AppDynamics • Create and maintain optimal data pipeline architecture and implement best practices.• Supporting the build of infrastructure required for optimal extraction, transformation, and loading of large and complex data sets from a wide variety of data sources using SQL and AWS ‘big data’ technologies. e.g. S3 based Data Lake, EMR, Apache Spark – PySpark.• Building and optimizing ‘big data’ data pipelines, architectures and data sets in the cloud e.g. AWS, Azure.• Working experience on message queue, stream processing: Kinesis, Kafka, Storm, Spark-Streaming, etc., highly scalable ‘big data’ data stores/tools. E.g. HIVE, Hadoop, Spark, etc., data pipeline and workflow management tools: Airflow, Jenkins, etc. object-oriented/object function scripting languages: Python etc. relational and NoSQL databases: Snowflake, MongoDB, Postgres, Cassandra, etc.• Applying Machine Learning/AI/Data Science specific models on the large/complex data sets and build data pipelines for predictive analytics.• Building Visual Analytics that utilize the data pipeline to provide actionable insights into customer adoption, product usage, and other key product performance metrics using Python Libraries, tableau, amplitude …etc. From June 2018 to November 2019 (1 year 6 months) San Francisco Bay AreaSenior Business Intelligence Specialist @ CSE Insurance Group Participating in all phases of Full Lifecycle Business Intelligence development projects including data warehouse build out, report development, Online Analytical Processing (OLAP) development, dashboard development etc.Legacy Data Archiving on Amazon Glacier and build new data store on Amazon Web Services Cloud Instances - RDS/EC2.Work closely with business owners to plan and execute Business Intelligence and reporting related projects on time, with high quality and within budget.Architect and design creative solutions and prepare technical design and architecture documents.Develop and present strategic and tactical plans,based on data analyses and critical findings.Extract/Transform/Load(ETL) design and development for all the data feeds. From May 2015 to September 2015 (5 months) San Francisco Bay AreaSr. ETL /Business Intelligence Consultant @ Sentry Insurance Build out the new enterprise data warehouse with so many years of historical data and daily changes.Designing, coding, testing, debugging, documenting and supporting all types of applications consistent with established specifications and business requirements to deliver business valueDeveloping pioneering approaches to emerging industry trendsCollaborate with the team on application architecture design and decision-makingDevelop innovative solutions to meet the needs of the businessProvide alternate design solutions along with project estimatesDeveloping and testing reports as per the different user group requirements.Troubleshoot production support issues post release deployment and come up with solutions. Predicts emerging customer needs and develops innovative solutions to meet themSolves unique and complex problems with broad impact on the businessParticipates in the development of business strategyTranslates highly complex concepts in ways that can be understood by a variety of audiences From July 2013 to May 2015 (1 year 11 months) Madison, Wisconsin AreaData Integration Lead Consultant @ State Farm Design and develop the Operational data stores/data warehouse/data mart / Cloud MDM with SalesForce/ MDM applications.Lead development team to achieve key business objectives, designed and developed so many ETL processes and Report Development.Responsible for the identification of data items through research, analysis, profiling, data mining, and data discovery of the source data.Design and develop complex SQL queries/Stored Procedures.Document data standards, requirement specifications, and business processes.Responsible for establishing best practices for several developers working in the same environment on different projects.Involvement with senior management in terms of supplying input for key design and architecture decisions, as well as work estimation and resource planning. From April 2008 to July 2013 (5 years 4 months) Bloomington/Normal, Illinois AreaData Engineer @ TEKsystems Designed and maintained scalable data models and pipelines.Lead development of architecture and standards for a business metric warehouse in a cloud platform like Azure.Designed optimal storage, data structures, and retrieval mechanisms for data at rest in Data lake and Analytics data store or data in motion for real-time processing requirements.Designed and developed a scalable data visualization platform.Expertise in building highly scalable distributed systems using NoSQL systems & Hadoop.Experienced with BigData challenges (Apache Spark, Kafka ..etc ) and NoSQL technologies (like HBase, Hadoop, Hive, Oozie, MongoDB)Developed automation scripts for deployment, continuous integration, and continuous testing. From September 2015 to May 2018 (2 years 9 months) San Francisco Bay AreaMainframe and ETL Consultant @ IBM Develop, code and test programs and software for defined projects Ensure adherence to continuous improvement practices as required to meet quality/time to market imperatives. From August 2005 to November 2007 (2 years 4 months) Bangalore, INDIA

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Kavitha Maddukuri's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

2 year(s), 4 month(s)

Kavitha Maddukuri's Willingness to Change Jobs



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