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Sunil (RID : pp3lnyds3dm)

designation   Azure Data Engineer

location   Location : Hyderabad, India

experience   Experience : 11 Year

rate   Rate: $20 / Hourly

Availability   Availability : Immediate

Work From   Work From : Any

designation   Category : Information Technology & Services

Shortlisted : 3
Total Views : 80
Key Skills
Data Engineer Databricks Pyspark Azure DevOPS Powershell Powershell SQL PL/SQL Linux
Discription

Having 11 years of experience in Information Technology with Technical and Functional experience in maintaining data warehouses/marts. Proficiency in Azure Data Factory and Tools, Azure Cloud components, Data warehousing, ETL process, OLAP systems, Business Intelligence.

  • Extensively used ELT methodology for Data Extraction, Loading and Transformation process in a corporate-wide Solution using Azure Data Factory,Data Lake, Databricks Delta Lake,Azure Sqldb,USQL ,Databricks,Pyspark and Powershell,Azure synapse AzureData Storage Explore components.
  • Azure Storage component, Data Lake Store(Gen1,Gen2), Access policy, Container/Blob Access & Security Audit for Different operation.

 

  • AAD group Creation ,RBAC role on access provisioning and Security

 

  • Actively involved in Design, build process to ingest and process ADF pipeline for Sales force and different Source system. Supporting IR service and monitoring for High availability for 24*7 Tumble & scheduled Jobs.

 

  • Involved in building ARM template for Pipeline, Data Lake catalog Objects & other PowerShell script deployment using VSTS(Azure DevOps).

 

  • Client interaction on Data anomaly, Data modelling or Powerbi report issues with respect to transitional & On Prem Data.

 

  • Experience in complete project life cycle (design, development, testing and implementation) of Client Server and Web applications.

 

  • Expert in Building, Deploying and Maintaining the Applications.

 

  • Experienced in preparing and executing Unit Test Plan and Unit Test Cases after software development.

 

  •  Involved in Agile Scrum methodology that leverages the Client On Prem and Cloud data platform Development and used version control tool VSTS(Azure DevOps).

 

  • Helping in different POC with Bigdata ecosystem using Databricks,Pyspark and other Azure Bigdata component as per customer requirement.
     
  • Used ETL methodology for Data Extraction, Transformation and Loading process in a corporate-wide ETL Solution using Informatica Power Center different Versions
  • Proficient in working with various Informatica Client tools like Designer, Workflow Manager, and Workflow Monitor
  • Experience in using various Informatica Designer Tools like Source Analyzer, Transformation Developer, Mapping Designer, and Mapplet designer.
  • Experience in using Full pushdown optimization to achieve performance gain in Job end to end execution in Production enjoyment.
  • Well versed with Dimensional Modeling (Star and Snow-flake Schemas) for building Data warehouse.
  • Good Experience in working with various data sources like Flat files and Databases
  • Created data Mappings to extract data from different source files, transform the data using Filter, Lookup, Update Strategy, Aggregator, Expression, Joiner Transformations etc., and then loaded into data warehouse
  • Good acquaintance with RDBMS Concepts and PL/SQL & Extensive knowledge of DWH Concepts
  • Implemented Type 1, Type2 slowly changing dimension mappings as per the business requirements.
  • Performed various kinds of tests that include Unit Testing and UAT
  • Worked on Mappings for ensuring the Performance Tuning
  • Working on various tasks like command task, event wait task, decision task etc., and Knowledge of UNIX Shell Scripts
  • Worked on Teradata external loader & utility like Mload,Fast Load. Modified Betq scripts.
  • Good Analytical, interpersonal, problem solving, communication skills and ability to perform independently and as part of a team.
  • Performed Core ETL testing work for Informatica,Database migration Projects with test cases,senarios and document preparation during  Unit and System Testing  for proper validation.
 
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