Charan T

Charan T Email and Phone Number

Data Engineer at Mayo Clinic//Data Integration, Validation, Azure Data Factory, Azure Synapse, Data Bricks, PySpark, Visualization//MS SQL, NoSQL, MySQL, PLSQL//Actively seeking for new opportunities on C2C or C2H bases. @ Mayo Clinic
rochester, minnesota, united states
Charan T's Location
Louisville, Kentucky, United States, United States
About Charan T

Experienced Azure Data Engineer with over 8 years of IT experience. They have a strong background in Azure Cloud Infrastructure management and implementation, as well as expertise in system and server administration of both Windows and Linux environments. Proficient in various Azure services such as Azure Web Roles, Worker Roles, SQL Azure, Azure Storage, and Azure AD Licenses.Hands-on experience in designing and developing software applications using Microsoft .NET, C#, and Classic ASP. Charan also possesses skills in developing pipelines in Spark using Scala and Python, with an in-depth understanding of Spark architecture.In addition to Azure expertise, also have knowledge on AWS cloud services, including Compute, Network, Storage, and Identity & Access Management. Worked with various AWS services such as EC2, S3, RDS, VPC, IAM, and Lambda.Experienced in automation and provisioning services on AWS and Azure, and Also worked on data management disciplines, data integration, modeling, and other areas relevant to business intelligence and analytics development. Worked with tools such as Azure Data Factory Pipelines, Azure Data Lake Storage, Power BI, and Informatica PowerCenter.Throughout my professional experience, I've been involved in various responsibilities such as migrating databases to Azure, developing and maintaining ETL processes, creating data visualizations, working on data warehouses, and collaborating with cross-functional teams. Also been involved in scripting, security configuration, and optimizing data pipelines.Having a positive outlook, excellent problem-solving skills, and the ability to work effectively both independently and as part of a team and have a desire to learn new skills and technologies, and they strive to deliver tasks before deadlines.

Charan T's Current Company Details
Mayo Clinic

Mayo Clinic

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Data Engineer at Mayo Clinic//Data Integration, Validation, Azure Data Factory, Azure Synapse, Data Bricks, PySpark, Visualization//MS SQL, NoSQL, MySQL, PLSQL//Actively seeking for new opportunities on C2C or C2H bases.
rochester, minnesota, united states
Website:
mayoclinic.org
Employees:
33134
Charan T Work Experience Details
  • Mayo Clinic
    Sr.Data Engineer
    Mayo Clinic Mar 2022 - Present
    Rochester, Minnesota, United States
    >Working on data management disciplines including data integration, modeling, and other areas directly relevant to business intelligence/business analytics development. >Working on Microsoft Azure tool-sets including Azure Data Factory Pipelines, Azure Data bricks, Azure Data Lake Storage. >Experience on Migrating SQL database to Azure Data Lake, Azure data lake Analytics, Azure SQL Database, Data Bricks and Azure SQL Data warehouse and controlling and granting database access and Migrating On premise databases to Azure Data Lake store using Azure Data factory. >Working on query languages such as SQL, code languages such as Python or C# and scripting languages such as PowerShell, M-Query (Power Query), or Windows batch commands. >Creating data visualizations using Power BI. >Enhance & maintain the data warehouse in snowflake to support all reporting BI needs.>Responsible for developing, support and maintain the ETL processes using Informatica PowerCenter.>Develop and maintains the Resource groups and instances.>Implemented and tested python-based web applications interacting with MySQL. >Experience with Microsoft Azure, Azure Resource Management templates, Virtual Networks, Storage, Virtual Machines, and Azure Active Directory.
  • Macy'S Retail Holdings, Inc.
    Azure Data Engineer
    Macy'S Retail Holdings, Inc. Oct 2019 - Feb 2022
    New York, United States
    >Hands on Experience in MS AZURE (Azure Data Factory, Azure Data Lake, Data Bricks) >Experienced in designing and implementing Service Oriented Architecture underlined with Ingress and Egress using Azure Data Lake Store & Azure Data Factory by adding blobs to lakes for analytic results and so pull data from Azure Data Lake to the Blobs. >CI-CD pipeline has been used to deploy the code to Production. >ETL: Employ tools like Azure SQL Server, Azure Data Factory and Data Bricks to create end-to-end data pipelines for collecting, cleansing, and processing client data. >Deploy and manage Azure Data bricks instance for Data science team for analysis on promotions and new products. >Actively participated in all the Agile meetings, Scrum meetings and involved in all the Retrospective meetings. >Experience in developing pipelines in Azure Data Factory using SQL Azure. >Migrating current data center environment to Azure Cloud using tools like Azure Site Recovery (ASR).
  • Edward Jones
    Data Engineer
    Edward Jones Jul 2017 - Sep 2019
    St Louis, Missouri, United States
    >Gathered business requirements and prepared technical design documents, target to source mapping document, mapping specification document. >Extensively worked on Informatica PowerCenter. >Collected data using Spark Streaming from AWS S3 bucket in near-real-time and performs necessary Transformations and Aggregations to build the data model and persists the data in HDFS. >In depth Knowledge of AWS cloud service like Compute, Network, Storage, and Identity & access management. >Designed AWS architecture, Cloud migration, Dynamo DB and event processing using Lambda function >Managed storage in AWS using Elastic Block Storage, S3, created Volumes and configured Snapshots >Gathered requirements from Business and documented for project development. >Coordinated design reviews, ETL code reviews with teammates. >Developed mappings using Informatica to load data from sources such as Relational tables, Sequential files into the target system >Parsed complex files through Informatica Data Transformations and loaded it to Database. >Optimized query performance by oracle hints, forcing indexes, working with constraint-based loading and few other approaches. >Extensively worked on UNIX Shell Scripting for splitting group of files to various small files and file transfer automation. >Worked with Autosys scheduler for scheduling different processes. >Performed basic and unit testing.
  • Brio Technologies
    Etl Developer
    Brio Technologies Jun 2015 - Apr 2017
    Hyderabad, Telangana, India
    >Implemented reporting Data Warehouse with online transaction system data. >Developed and maintained data warehouse for PSN project. >Worked with PL/SQL procedures and used them in Stored Procedure Transformations. >Extensively worked on oracle and SQL server. Wrote complex SQL queries to query ERP system for data analysis purpose >Developing pipelines in Azure Data Factory using SQL Azure. >Migrating current data center environment to Azure Cloud using tools like Azure Site Recovery (ASR). >Build Data Sync job on Windows Azure to synchronize data from SQL 2012 databases to SQL Azure. >Expert in implementing the in-memory computing capabilities like Apache Spark written in Pyspark >Extract Transform and Load data from Sources Systems to Azure Data Storage services using a combination of Azure Data Factory, T-SQL, Spark SQL, and U-SQL Azure Data Lake Analytics. >Worked in converting Hive/SQL queries into Spark transformations using Spark RDDs and Scala. >Developed Scala and SQL code to extract data from various databases. >Developed Spark code using Scala and Spark-SQL for faster testing and data processing. >Migrated ETL code from Talend to Informatica. Involved in development, testing and post-production for the entire migration project.
  • Careator Technologies
    Data Analyst
    Careator Technologies Aug 2014 - May 2015
    Hyderabad, Telangana, India
    >Involved in understanding the legacy applications & data relationships. >Attended user design sessions, studied user requirements, completed detail design analysis, and wrote design specs. >Utilized AWS services with focus on big data analytics, enterprise data warehouse and business intelligence solutions to ensure optimal architecture, scalability, and flexibility. >Interacted with key users and assisted them with various data issues, understood data needs and assisted them with Data analysis. >Implemented and tested python-based web applications interacting with MySQL. >Developed the Pyspark code for AWS Glue jobs. >Worked on scalable distributed data system using Hadoop ecosystem in AWS, MapR distribution. >Build cluster on AWS environment using S3, EC2, Redshift. >Prepared and maintained documentation for on-going projects. >Worked with Informatica PowerCenter for data processing and loading files.

Frequently Asked Questions about Charan T

What company does Charan T work for?

Charan T works for Mayo Clinic

What is Charan T's role at the current company?

Charan T's current role is Data Engineer at Mayo Clinic//Data Integration, Validation, Azure Data Factory, Azure Synapse, Data Bricks, PySpark, Visualization//MS SQL, NoSQL, MySQL, PLSQL//Actively seeking for new opportunities on C2C or C2H bases..

Who are Charan T's colleagues?

Charan T's colleagues are Wes Oldenburg, Julie Banitt, Jennifer Ludtke, Guy Rex, Louis Blue Blue, Sealey Leslie, Leng Her.

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