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Akshitha Reddy is listed as Senior Data Engineer at John Deere| skilled in AWS Cloud services, Hadoop Distribution, Python, Spark, SQL server | Actively looking for new C2C opportunities. at John Deere, a company with 38396 employees, based in Cincinnati, Ohio, United States. AeroLeads shows a matched LinkedIn profile for Akshitha Reddy.
Akshitha Reddy previously worked as Senior Data Engineer at John Deere and Data Engineer at Ditech Financial Services.
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9+ years of professional IT experience in designing and building Data Management Lifecycle including DataIngestion, Data integration, Data consumption, Data delivery, and integration Reporting, Analytics, and SystemSystem integration. Experience in evaluating the technology stack for building Cloud-Based Analytics solutions by conductingresearch and identifying appropriate strategies, tools, and methodologies for developing end-to-end analyticssolutions and assisting in the development of a technology roadmap for Data Ingestion, Data Lakes, DataProcessing, and Data Visualization. Good experience on Data Management, Analytics, performing analysis, design, development, testing, and implementation of large-scale On-premises and Cloud SQL databases and data warehouses using Microsoft Business Intelligence Products and Azure.
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Moline, Illinois, United States
Gathered requirements for Analysis, Design, Development, testing, and implementation of business rules. Created data pipelines and transformed data to a structure that is relevant to the problem by selecting appropriate techniques. Performed ETL operations for Data cleansing, Filtering, Standardizing, Mapping, and Transforming of Extracted data from.
Washington, United States
Built ETL pipeline for data ingestion, data transformation, and data validation on cloud service AWS, working along with data steward under data compliance. Worked on scheduling and validating all jobs with Airflow scripts using Python and added different tasks to directed acyclic graph and dependencies between the tasks using Lambda. Developed Python.
Virginia, United States
Designed and developed multiple applications in Spark using Python. Created and selected the virtual warehouses in Snowflake based on the query load performance. Designed and developed Scala workflows for data pull from cloud-based systems and applying transformationson it. Implemented Apache-Spark code to read multiple tables from the real-time records.
New York, United States
Worked on AWS Data pipeline to configure data loads from S3 to Redshift. Used AWS Redshift, extracted, transformed, and loaded data from various heterogeneous data sources anddestinations. Created functions and assigned roles in AWS Lambda to run Python Scripts, and AWS Lambda using Java to perform event-driven processing. Created Lambda jobs and.
Hyderabad, Telangana, India
Worked on managing and reviewing the Hadoop log files. Transformed the data from online transaction processing to online analytical processing, a thorough ETL design was developed. Worked on documentation like including a Source-to-Target Data Mapping Document, a Set of Unit Test Cases, and a Set of Data Migration Documents.
Other employees you can reach at johndeere.com. View company contacts for 38396 employees →
Jesus Guerra
Colleague at John Deere
Monterrey Metropolitan Area, Mexico
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Lauren Swenson
Colleague at John Deere
Cedar Falls, Iowa, United States, United States
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JS
Jing Sun
Colleague at John Deere
Redondo Beach, California, United States, United States
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梁万江
Colleague at John Deere
Heilongjiang, China, China
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JM
Josefina Mortarotti
Colleague at John Deere
Rosario, Santa Fe, Argentina, Argentina
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SR
Susie Rauman
Colleague at John Deere
Madison, Wisconsin, United States, United States
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MF
Martin Ferguson
Colleague at John Deere
Argentina, Argentina
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MA
Marcio Adair Barato
Colleague at John Deere
Horizontina, Rio Grande Do Sul, Brazil, Brazil
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EJ
Erica Jansen, Cissp, Gcda
Colleague at John Deere
Des Moines, Iowa, United States, United States
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IV
Iram Vázquez Cervantes
Colleague at John Deere
Mexico, Mexico
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Quick answers generated from the profile data available on this page.
Akshitha Reddy works for John Deere.
Akshitha Reddy is listed as Senior Data Engineer at John Deere| skilled in AWS Cloud services, Hadoop Distribution, Python, Spark, SQL server | Actively looking for new C2C opportunities. at John Deere.
Akshitha Reddy is based in Cincinnati, Ohio, United States while working with John Deere.
Akshitha Reddy has worked for John Deere, Ditech Financial Services, Anthem, Inc., Jpmorgan Chase & Co., and Peoplenorth Pvt. Ltd..
Akshitha Reddy's colleagues at John Deere include Jesus Guerra, Lauren Swenson, Jing Sun, 梁万江, and Josefina Mortarotti.
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