Likitha Reddy
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Likitha Reddy Email & Phone Number

Senior Data Engineer at Freddie Mac
Location: United States 3 work roles 1 school
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Current company
Role
Senior Data Engineer
Location
United States
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Who is Likitha Reddy? Overview

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Likitha Reddy is listed as Senior Data Engineer at Freddie Mac, a with 11232 employees, based in United States. AeroLeads shows a matched LinkedIn profile for Likitha Reddy.

Likitha Reddy previously worked as Sr Data Engineer at Gainwell Technologies and Senior Data Engineer at Premier Inc.. Likitha Reddy holds Master'S Degree, Computer Science from Southeast Missouri State University.

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Freddie Mac

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Profile bio

About Likitha Reddy

•Experienced Data Engineer known for high productivity and efficiency in task completion. Specialized in project development, implementation, deployment, and maintenance using Big Data technologies in designing and implementing complete end-to-end Hadoop based data analytical solutions using HDFS, MapReduce, Spark, Scala, Yarn, Kafka, PIG, HIVE, Sqoop, Flume, Oozie, Impala, HBase.• Experience in working with different Hadoop distributions like CDH and Hortonworks. • Experienced with the Spark improving the performance and optimization of the existing algorithms in Hadoop using Spark Context, Spark-SQL, Data Frame, Pair RDD's, Spark YARN.• Having proficient experience in various Big Data technologies like Hadoop, Apache Nifi, Hive Query Language, HBase NoSQL database, Sqoop, Spark, Scala, OOZIE and Pig. Oracle Database and Unix shell Scripting technologies.• Implemented Enterprise Data Lakes using Apache Nifi.• Developed and designed Microservices components for the business by using Spring Boot.• Experience developing Pig Latin and HiveQL scripts for Data Analysis and ETL purposes and extended the default functionality by writing User Defined Functions (UDFs), User Defined Aggregate Function (UDAFs) for custom data specific processing. • Strong Knowledge on Architecture of Distributed systems and parallel processing, In-depth understanding of MapReduce programing paradigm and Spark execution framework. • Good experience in creating data ingestion pipelines, data transformations, data management, data governance and real time streaming at an enterprise level.• Expert in working with Hive data warehouse tool-creating tables, data distribution by implementing partitioning and bucketing, writing, and optimizing the HiveQL queries. • In depth understanding of Hadoop Architecture and its various components such as Resource Manager, Application Master, Name Node, Data Node, HBase design principles etc. • Experience developing iterative algorithms using Spark Streaming in Scala and Python to builds near real-time dashboards. • Experience with migrating data to and from RDBMS and unstructured sources into HDFS using Sqoop. • Excellent Programming skills at a higher level of abstraction using Scala, Java, and Python.• Experience in job workflow scheduling and monitoring tools like Oozie and good knowledge on Zookeeper. • Profound understanding of Partitions and Bucketing concepts in Hive and designed both Managed and External tables in Hive to optimize performance. • Worked on NoSQL databases including HBase and Mongo DB.

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Freddie Mac
Freddie Mac
Senior Data Engineer
McLean, VA, US
Website
Employees
11232
AeroLeads page
3 roles

Likitha Reddy work experience

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Sr Data Engineer

Current

Irving, Texas, United States

Currently working remotely as a Data Engineer• Responsible for design, development and delivery of data from Operational systems and files into ODS, downstream Data Marts and Files.• Developed Python scripts to find the vulnerabilities with SQL Queries by doing SQL injection, permission checks and analysis. Worked on complex SQL Queries, PL/SQL procedures and covert them to ETL tasks.• Involved in running Hadoop streaming jobs to process Terabytes of data.• Built the code efficiently and worked with business analyst, end users and architects.• Involved in scheduling Oozie workflow engine to run multiple Hive jobs.• Developed new ETL process in Spark and converted the existing Hive scripts into Spark.• Implemented custom UDF using Spark RDDs, Data frames, and Spark SQL.• Designed scalable data architectures for batch and real-time processing on AWS and GCP, capable of handling millions of records daily, optimizing system performance, and scalability. Developed and maintained ETL workflows using Apache Spark and AWS Glue, facilitating efficient data movement from on-premise systems to the cloud.•Designed the optimal performance strategy, and managed the technical metadata across all ETL jobs.• Implemented scripts in PySpark to validate the data and automated the scripts.• Involved on designing, developing, testing, tuning and building a large-scale data processing system.• Involved in data migration using NIFI.• Scheduled the jobs and Data-bricks work flows using Airflow.• Responsible for building solutions involving large data sets using SQL methodologies, Data Integration Tools like Informatica in any database.• Used JIRA for bug tracking and GIT for version control.• Followed agile methodology for the entire project.

Feb 2022 - Present

Senior Data Engineer

Charlotte, North Carolina, United States

• Replaced the existing MapReduce programs and Hive Queries into Spark application using Scala.• Developed data pipeline using Flume, Sqoop and Pig to extract the data from weblogs and store in HDFS. • Loaded the data from Teradata to HDFS using Teradata Hadoop connectors. • Developed Shell scripts for scheduling and automating the job flow.• Performing Hive tuning techniques like partitioning and bucketing and memory optimization.• Hands on experience on Sqoop import, export and eval.• Worked on migrating MapReduce programs into Spark transformations using Spark and Scala, initially done using Python (PySpark).• Performed Distcp while loading the historic data in to Hive.• Used Spark SQL to load data and created schema RDD on top of that which loads into Hive tables and handled structured using Spark SQL.• Involved in converting the Hql into Spark transformations using Spark RDD with support of Python and Scala.• Performed Pig script which picks the data from one hdfs path and performs aggregation and loads into another path which later pulls populates into another domain table. Converted this script into a jar and passed as parameter in Oozie script.• Developed JSON Scripts for deploying the Pipeline in Azure Data Factory (ADF) that process the data using the SQL Activity.• Build an ETL which utilizes spark jar inside which executes the business analytical model.• Hands on experiences on Git bash commands like git pull to pull the code from source and developing it as per the requirements, Git add to add files, git commit after the code build and git push to the pre prod environment for the code review and later used screwdriver. Yaml which build the code, generates artifacts which releases into production.• Performed data validation which does the record wise counts between the source and destination.• Have knowledge on apache Hue.• Good hands-on experience with Git and GitHub.• Created a feature node on GitHub.

May 2020 - Jan 2022
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1 education record

Likitha Reddy education

FAQ

Frequently asked questions about Likitha Reddy

Quick answers generated from the profile data available on this page.

What company does Likitha Reddy work for?

Likitha Reddy works for Freddie Mac.

What is Likitha Reddy's role at Freddie Mac?

Likitha Reddy is listed as Senior Data Engineer at Freddie Mac.

Where is Likitha Reddy based?

Likitha Reddy is based in United States while working with Freddie Mac.

What companies has Likitha Reddy worked for?

Likitha Reddy has worked for Freddie Mac, Gainwell Technologies, and Premier Inc..

Who are Likitha Reddy's colleagues at Freddie Mac?

Likitha Reddy's colleagues at Freddie Mac include Jason P. Weiner, Cfa, Chris O Kwon, Traci Disalvatore, Danielle Smith, and Henry Thomas.

How can I contact Likitha Reddy?

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What schools did Likitha Reddy attend?

Likitha Reddy holds Master'S Degree, Computer Science from Southeast Missouri State University.

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