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Manasa M Email & Phone Number

Senior AWS Data Engineer at Fannie Mae
Location: Dallas, Texas, United States 5 work roles 1 school
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Current company
Role
Senior AWS Data Engineer
Location
Dallas, Texas, United States

Who is Manasa M? Overview

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Manasa M is listed as Senior AWS Data Engineer at Fannie Mae, based in Dallas, Texas, United States. AeroLeads shows a matched LinkedIn profile for Manasa M.

Manasa M previously worked as Senior Data Engineer at Centene Corporation and Cloud Data Engineer at Corevitas-Specialty Emr Data. Manasa M holds Bachelor Of Technology - Btech, Computer Science from Jntuh College Of Engineering Hyderabad.

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Fannie Mae

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About Manasa M

Data Engineer with 8+ years of experience in developing distributed data solutions and analytical applications using both AWS and GCP cloud services. Proficient in designing and optimizing ETL pipelines, leveraging big data technologies such as Hadoop, Spark, and Kafka. Skilled in AWS services including EC2, S3, RDS, Lambda, EMR, and Terraform for automation and infrastructure management.Experienced in working with databases and data warehouses like Teradata, Oracle, Redshift, Snowflake, and BigQuery, and performing data analysis using SQL, Python, and Spark. Adept at creating business reports with tools such as Power BI, Tableau, and OBIEE.Expert in building and tuning Spark Streaming jobs, managing Hive and Pig scripts, and handling various data formats including Avro, Parquet, JSON, and XML. Proven ability to lead end-to-end system delivery, from requirements gathering and system design to deployment.Strong background in real-time data processing, having led teams in developing streaming applications with PySpark and Apache Flink. Experienced in data modeling, cloud computing, and using tools like Databricks for comprehensive data analytics and processing.

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Fannie Mae
Fannie Mae
Senior AWS Data Engineer
AeroLeads page
5 roles

Manasa M work experience

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Senior Aws Data Engineer

Current

Reston, Virginia, United States

Specialized in delivering complex systems through end-to-end management, from requirements gathering and system design to development, testing, and deployment. Adeptly employ AGILE/SCRUM methodologies to drive efficient software delivery and collaborate effectively with cross-functional teams.Developing and maintaining data pipelines using Big Data technologies, such as AWS S3, Redshift, Snowflake, and Databricks, and leveraging tools like PySpark and AWS Glue for ETL processes. Exceled in transforming and analyzing large datasets, utilizing technologies like AWS EMR, Kafka, Spark Streaming, and Hadoop.Proficient in creating scalable data solutions with AWS services, Terraform, and CloudFormation, and have a strong background in optimizing data workflows, troubleshooting complex issues, and ensuring robust performance across diverse systems. Designed data ingestion modules, generating BI reports with QuickSight, and integrating data with various platforms through ETL processes and data visualization tools.

Jun 2022 - Present

Senior Data Engineer

St Louis, Missouri, United States

Experienced Data Engineer skilled in Agile, SAFe, and DevOps frameworks with a focus on building and optimizing data pipelines. Proficient in developing custom ETL solutions and real-time data ingestion using PySpark, Scala, and Shell Scripting within Hadoop clusters. Adept at configuring Spark Streaming for real-time analytics and improving data processing efficiency through optimized Scala and Python code.Experienced in creating and managing DAGs in Apache Airflow, enhancing data workflows, and integrating various data sources like Snowflake, MS SQL, and MongoDB using Hive, Sqoop, and Spark. Proficient in developing Spark jobs and MapReduce tasks, implementing CI/CD pipelines with Azure DevOps, and leveraging Azure services (Data Factory, Databricks, Synapse) for robust data management and business intelligence solutions.Skilled in optimizing Spark clusters, improving query performance, and managing data resources with Azure Kubernetes Service. Capable of creating reusable YAML pipelines and leveraging Git flow for code management.

Aug 2020 - Jun 2022

Cloud Data Engineer

Waltham, Massachusetts, United States

Experienced DevOps and Data Engineer specializing in containerization, immutable infrastructure, and microservices management using Docker and Kubernetes. Proficient in deploying Spring Boot applications and managing environments with Docker Swarm and OpenShift. Skilled in integrating AWS services like Lambda, SQS, DynamoDB, and Glue, as well as configuring and automating infrastructure with tools such as Ansible, Terraform, and Google Cloud Deployment Manager.Expert in log analysis with ELK stack on AWS, build and deployment automation using VMware ESX, Docker, and Kubernetes, and monitoring with CloudWatch. Experienced in managing source code repositories with GitLab and Bitbucket, and developing APIs using Python and Flask. Adept at data processing and analysis with Snowflake, Hadoop, and Python libraries, and experienced in Agile methodology for application development.Proficient in creating and managing CI/CD pipelines with Jenkins, scripting administrative tasks in Shell, PowerShell, and Ruby, and maintaining build configurations for Maven. Experienced with data cleansing, feature engineering, and scaling, and knowledgeable in various data storage solutions including Couchbase, Redis, and SQL databases.

Aug 2018 - Jun 2020

Data Engineer

Richmond, Virginia, United States

Experienced Data Engineer specializing in designing and developing complex ETL workflows using SSIS and PowerShell. Proficient in creating ETL packages for data transformations, validations, and generating client-specific reports in various formats. Expert in optimizing ETL performance, managing database design for improved system reliability, and overseeing change management processes.Skilled in developing and scheduling T-SQL jobs, and experienced with big data technologies including Hadoop, Spark, Hive, Kafka, and PySpark. Adept at performance tuning, troubleshooting, and handling incidents related to big data processing. Collaborative in working with business and product teams to design engineering solutions and follow best practices for code development.Experienced with a broad range of technologies including SQL Server, Snowflake, Oracle, Azure, Python, and RStudio.

Jan 2018 - Jun 2018

Etl Developer

Bengaluru, Karnataka, India

Experienced Data Engineer adept at designing and developing complex ETL workflows with SSIS and PowerShell. Skilled in creating and optimizing ETL packages for data transformation, validation, and report generation. Proficient in T-SQL job development, database design, and change management.Experienced with big data technologies such as Hadoop, Spark, Hive, Kafka, and PySpark. Expertise in performance tuning, troubleshooting, and incident resolution. Collaborative in designing engineering solutions with business and product teams, adhering to best coding practices.Well-versed in SQL Server, Snowflake, Oracle, Azure, Python, and RStudio.

Jun 2016 - Sep 2017
1 education record

Manasa M education

FAQ

Frequently asked questions about Manasa M

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What company does Manasa M work for?

Manasa M works for Fannie Mae.

What is Manasa M's role at Fannie Mae?

Manasa M is listed as Senior AWS Data Engineer at Fannie Mae.

Where is Manasa M based?

Manasa M is based in Dallas, Texas, United States while working with Fannie Mae.

What companies has Manasa M worked for?

Manasa M has worked for Fannie Mae, Centene Corporation, Corevitas-Specialty Emr Data, Capital One, and Hewlett Packard Enterprise.

How can I contact Manasa M?

You can use AeroLeads to view verified contact signals for Manasa M at Fannie Mae, including work email, phone, and LinkedIn data when available.

What schools did Manasa M attend?

Manasa M holds Bachelor Of Technology - Btech, Computer Science from Jntuh College Of Engineering Hyderabad.

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