Malathi Keerthi Email & Phone Number
Who is Malathi Keerthi? Overview
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Malathi Keerthi is listed as Senior Data Developer at Farm Bureau Financial Services, a with 130 employees, based in Overland Park, Kansas, United States. AeroLeads shows a matched LinkedIn profile for Malathi Keerthi.
Malathi Keerthi previously worked as Senior Data Engineer at Iowa Department Of Agriculture And Land Stewardship and Senior Data Engineer at Goldman Sachs. Malathi Keerthi holds Bachelor Of Technology - Btech, A from Jntuh College Of Engineering Hyderabad.
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About Malathi Keerthi
With over 10 years of experience in the IT industry, I specialize in designing data-intensive applications using cloud services for ETL workflows, data engineering, and big data analytics. My expertise spans across AWS services like EC2, S3, EMR, Glue, Athena, IAM, and Cloud Watch, along with hands-on proficiency in AWS databases such as RDS (Aurora), Redshift, and DynamoDB. Additionally, I have significant experience with Azure Cloud Services, including Synapse Analytics, SQL Azure, Data Factory, Azure Analysis Services, Application Insights, Key Vault, and Azure Data Lake.I am adept at creating data pipelines in Azure Data Factory, developing ETL programs using Informatica Power Centre, and building efficient data integration workflows with Talend. My skill set includes extensive use of Python libraries like Pandas, NumPy, and Scikit-learn for data manipulation, analysis, and machine learning, as well as hands-on experience with Spark RDDs, Data Frames, and Spark SQL. Furthermore, I possess expertise in Apache Kafka for building scalable event streaming pipelines and optimizing PySpark jobs for performance in distributed computing environments.My experience extends to working with SQL and PL/SQL databases such as Microsoft SQL Server, Oracle, and HBase, and I have comprehensive knowledge of the Hadoop ecosystem, including Spark, Kafka, HBase, Pig, Impala, Sqoop, Oozie, Flume, and Talend. I am proficient in setting up and managing Hadoop clusters using Cloudera, Hortonworks, and Apache Ambari. Additionally, I have solid experience in dimensional data modeling, developing SQL and PL/SQL codes, and performance tuning in Tableau and Power BI for creating interactive dashboards and reports. My skills also include leveraging Git workflows to streamline development processes and maintain organized repositories.
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Malathi Keerthi work experience
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Senior Data Engineer
CurrentI have extensive experience in production support and migration tasks within Azure environments, managing Azure Data Factory pipelines, Azure Logic Apps, Azure Analysis Services, and Databricks scripts. I have successfully migrated SQL databases to Azure Data Lake, Azure SQL Database, and Data Bricks, ensuring seamless access control and efficient data integration. My role also involved designing impactful data visualizations using Matplotlib and optimizing Informatica ETL mappings through… Show more I have extensive experience in production support and migration tasks within Azure environments, managing Azure Data Factory pipelines, Azure Logic Apps, Azure Analysis Services, and Databricks scripts. I have successfully migrated SQL databases to Azure Data Lake, Azure SQL Database, and Data Bricks, ensuring seamless access control and efficient data integration. My role also involved designing impactful data visualizations using Matplotlib and optimizing Informatica ETL mappings through performance tuning and effective use of parameter files. Additionally, I implemented robust error handling in Talend jobs and utilized NumPy for advanced numerical computing tasks on large datasets.In the realm of big data, I have administered Hadoop Cluster environments, handling node commissioning, capacity planning, and performance tuning. I implemented Name-node HA services for high availability and developed data processing tasks using PySpark and Spark SQL for data ingestion and transformation. I worked with Kafka and Zookeeper for live data streaming and monitoring, and utilized NiFi for Spark streaming integration. My experience also includes working with Star and Snowflake schemas, developing reusable data pipelines for Snowflake, and optimizing ElasticSearch performance.I have a strong background in data visualization and reporting, having designed and built reports and dashboards using Tableau and Power BI, with customized security architecture. I integrated Git with CI/CD pipelines to automate testing and deployment, ensuring smooth delivery of data pipelines and applications. Additionally, I orchestrated automated testing and deployment workflows with GitHub and CI/CD platforms like Jenkins and Travis CI, facilitating rapid and reliable software delivery. Show less
Senior Data Engineer
I have extensive experience creating run jobs on AWS Cloud, including extracting, transforming, and loading data into AWS Redshift using AWS Glue and S3 for data storage. I have utilized AWS Glue Catalog with a crawler to retrieve data from S3 and performed SQL query operations using AWS Athena. Additionally, I created various AWS Lambda functions and API Gateways to submit data, accessible via AWS Lambda functions, and fine-tuned ETL workflows using shell scripts and Informatica… Show more I have extensive experience creating run jobs on AWS Cloud, including extracting, transforming, and loading data into AWS Redshift using AWS Glue and S3 for data storage. I have utilized AWS Glue Catalog with a crawler to retrieve data from S3 and performed SQL query operations using AWS Athena. Additionally, I created various AWS Lambda functions and API Gateways to submit data, accessible via AWS Lambda functions, and fine-tuned ETL workflows using shell scripts and Informatica transformations, such as Source Qualifier, Joiner, Filter, and more.My expertise extends to designing and developing efficient data integration processes using Talend, optimizing Python code for performance, and implementing robust ETL pipelines using Python and frameworks like Apache Airflow. I have utilized Spark SQL API in PySpark to extract, load data, and perform SQL queries, improved Hadoop algorithms with Spark, and monitored and troubleshot Hadoop cluster performance. Furthermore, I have optimized Hive queries and integrated Flume with Kafka for real-time data ingestion in HDFS.In the realm of data visualization and reporting, I have developed interactive dashboards in Tableau, leveraging calculation fields, filters, and custom SQL queries to validate and reconcile data. I have created Power BI reports with various visualizations, including line charts, KPI, and scatter plots, and designed custom dashboards displaying MDM data insights using advanced Power BI techniques and DAX formulas. Additionally, I have utilized Git for version control, ensuring secure, tracked, and documented changes to code and data pipelines, and implemented security best practices in Git and GitHub repositories. Show less
Data Engineer
I have extensive experience working with Azure Data Factory, where I integrated data from on-prem SQL, Cassandra, and cloud sources such as Blob storage and Azure SQL DB, applying transformations and loading the data back to Azure Synapse. I developed data ingestion pipelines on Azure HDInsight Spark clusters using Azure Data Factory and Spark SQL, and created pipelines to load data from Azure Data Lake into staging SQLDB and subsequently into Azure SQL DB. Additionally, I implemented Change… Show more I have extensive experience working with Azure Data Factory, where I integrated data from on-prem SQL, Cassandra, and cloud sources such as Blob storage and Azure SQL DB, applying transformations and loading the data back to Azure Synapse. I developed data ingestion pipelines on Azure HDInsight Spark clusters using Azure Data Factory and Spark SQL, and created pipelines to load data from Azure Data Lake into staging SQLDB and subsequently into Azure SQL DB. Additionally, I implemented Change Data Capture (CDC) solutions in Informatica for real-time data integration, and designed configurable data delivery pipelines for scheduled updates using Python.In my role, I performed data cleaning, feature scaling, and feature engineering using Pandas and NumPy in Python. I developed Oozie scripts to manage and schedule Hadoop jobs, and created real-time dashboards on Hadoop using Platfora. I utilized Spark SQL API in PySpark to extract and load data, executed multiple Spark SQL queries for specific data gathering, and developed Spark Streaming programs to process near real-time data from Kafka. My experience also includes running queries using Impala, using Kafka producers for data ingestion, and developing PySpark scripts for encrypting raw data with hashing algorithms.Furthermore, I have a solid background in data visualization and BI tools. I worked on direct queries in Power BI to compare legacy and current data, generated reports, and created dashboards with action filters, parameters, and calculated sets. I conducted data blending and preparation using Alteryx and SQL for Tableau, designed interactive Tableau dashboards, and published data sources to Tableau Server. Additionally, I implemented GitLab CI/CD pipelines to automate builds, testing, and deployment processes, ensuring rapid and reliable software delivery. Show less
Hadoop Developer
I have extensive experience in AWS and data engineering, including creating AWS Lambda functions and provisioning AWS EC2 instances. I implemented security groups and administered Amazon VPCs to ensure secure environments. Additionally, I developed Python serverless Lambda functions with concurrency and multithreading capabilities for efficient, asynchronous processing. My work also included implementing AWS CloudTrail to capture API call events within the AWS infrastructure.In the… Show more I have extensive experience in AWS and data engineering, including creating AWS Lambda functions and provisioning AWS EC2 instances. I implemented security groups and administered Amazon VPCs to ensure secure environments. Additionally, I developed Python serverless Lambda functions with concurrency and multithreading capabilities for efficient, asynchronous processing. My work also included implementing AWS CloudTrail to capture API call events within the AWS infrastructure.In the realm of big data, I worked on Kafka REST API to collect and load data into the Hadoop File System, using Sqoop for relational database integration. I developed various Python scripts to detect vulnerabilities through SQL injection, permission checks, and performance analysis, and created scripts for data migration from proprietary databases. My expertise extends to real-time data processing with Kafka and Spark Streaming, converting data into RDDs, and storing it in HDFS as Parquet format. I also implemented Apache Drill on Hadoop to integrate SQL database data, used Spark-Streaming APIs for data transformations, and developed custom RDDs in Scala for data transformations.My proficiency in data analytics includes using Spark API over Hadoop YARN for data analytics with Hive and developing a high-availability ETL framework for Hadoop using Spark. I conducted Tableau data source optimizations with Tableau Prep Builder for data cleaning and integration. In Power BI, I created DAX calculations and measures for advanced analytics, integrated Power BI with various data sources for live connections, and set up automated data refresh schedules to ensure data accuracy and timeliness. Show less
Colleagues at Farm Bureau Financial Services
Other employees you can reach at iowaagriculture.gov. View company contacts for 130 employees →
Jerry Neppel
Colleague at Farm Bureau Financial ServicesAmes, Iowa, United States
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Mike Bourland
Colleague at Farm Bureau Financial ServicesDes Moines, Iowa, United States
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Wallace Greenlees
Colleague at Farm Bureau Financial ServicesAdel, Iowa, United States
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Cami Vande Lune
Colleague at Farm Bureau Financial ServicesChariton, Iowa, United States
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Karen Robbins
Colleague at Farm Bureau Financial ServicesCarol Stream, Illinois, United States
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Bryce Rasmusson
Colleague at Farm Bureau Financial ServicesJesup, Iowa, United States
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Sadie Luna Todd
Colleague at Farm Bureau Financial ServicesPolk County, Iowa, United States
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Mark Smith
Colleague at Farm Bureau Financial ServicesDes Moines Metropolitan Area, United States
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Walker Jeff
Colleague at Farm Bureau Financial ServicesDes Moines, Iowa, United States
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Christian Charbonneaux
Colleague at Farm Bureau Financial ServicesAmes, Iowa, United States
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Malathi Keerthi education
Frequently asked questions about Malathi Keerthi
Quick answers generated from the profile data available on this page.
What company does Malathi Keerthi work for?
Malathi Keerthi works for Farm Bureau Financial Services.
What is Malathi Keerthi's role at Farm Bureau Financial Services?
Malathi Keerthi is listed as Senior Data Developer at Farm Bureau Financial Services.
Where is Malathi Keerthi based?
Malathi Keerthi is based in Overland Park, Kansas, United States while working with Farm Bureau Financial Services.
What companies has Malathi Keerthi worked for?
Malathi Keerthi has worked for Farm Bureau Financial Services, Iowa Department Of Agriculture And Land Stewardship, Goldman Sachs, Canara Hsbc Life Insurance, and Yashoda Hospitals.
Who are Malathi Keerthi's colleagues at Farm Bureau Financial Services?
Malathi Keerthi's colleagues at Farm Bureau Financial Services include Jerry Neppel, Mike Bourland, Wallace Greenlees, Cami Vande Lune, and Karen Robbins.
How can I contact Malathi Keerthi?
You can use AeroLeads to view verified contact signals for Malathi Keerthi at Farm Bureau Financial Services, including work email, phone, and LinkedIn data when available.
What schools did Malathi Keerthi attend?
Malathi Keerthi holds Bachelor Of Technology - Btech, A from Jntuh College Of Engineering Hyderabad.
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