Chaitanya (RID : 6v6vlte0nxoh)

  • Senior Consultant
  • Hyderabad, India

Rate

₹ 183,000 (Monthly)

Experience

10 Years

Availability

Immediate

Work From

Offsite

Skills

PythonAzureSSISAirflowSnowflakeSQL

Description

Summary                                                                                                                                                                 

Proven as team leader and data architect with expertise in problem-solving. Adept in performing architecture designs using Azure tech stack and working with teams of freshers and experienced professionals to identify and solve complex challenges. Motivated to contribute to an organization's growth and success by leveraging skills in communication and interpersonal relations. Committed to excellence and continual skill growth.

T O T A L E X P E R I E N C E         

9.8 Years

K E Y S K I L L S                              

Azure Synapse Analytics Azure Data Factory Azure Data Bricks

Azure SQL Database Azure Purview Profisee (MDM Tool)

PySpark Airflow Python SQL SSIS

DevOps (YAML and classic editor)

GIT

MS Excel PowerShell

 

C A R E E R H I G H L I G H T S                                                                                         

SENIOR CONSULTANT III

 Feb 2020 to Present

Data Migration Project:

  • Developed data migration framework to move Sybase data to Azure SQL Database using DDD approach and Airflow
  • Built automated Micro services (REST APIs) to handle data cleansing, transformation, and convert- ing to JSON structures
  • Implemented QA Automation to validate data between Sybase and Azure SQL Database
  • Ensured data accuracy and optimized workflow using Airflow
  • Developed scripts to manage system configurations and setup
  • Designed efficient data architecture to facilitate data processing and analysis
  • Optimized platform performance and cost efficiency through process automation
  • Developed and monitored performance dashboards for data monitoring and analytics
  • Utilized monitoring tools for data quality and performance checks
  • Identified and resolved data pipeline issues
  • Collaborated with stakeholders to ensure data quality
  • Automated scheduled tasks and system maintenance
  • Implemented and maintained version control through Git

 

 

 

 

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