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Naga Jyothi Abburu

Naga Jyothi Abburu

Data Engineer & Data Analyst

Upper Management / Consulting

Oakville, Ontario

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About Naga Jyothi Abburu:

  • Having nearly 2+ years of experience in Data Engineering, Data reporting, Data analysis, cleansing, modeling, and visualization and an overall experience of 4 years in IT 
  • Good knowledge of Azure Data Factory (ADF), Integration Runtime (IR), File system Data Ingestion, Relational Data Ingestion
  • Savvy in designing and implementing database solutions in Azure SQL Data Warehouse, Azure SQL
  • Proficient in creating Azure SQL database, performed monitoring, and restoring of Azure SQL database, and performed migration of Microsoft SQL Server to Azure SQL database
  • Skilled in developing an ETL system to replace an existing pipeline built on DTS using Python and SQL Server
  • Expertise in ingesting data from disparate data sources using a combination of SQL and Salesforce API using python to create data views to be used in BI tools like Power BI or Tableau
  • Designed and developed data engineering solutions (data virtualization, ETL/ELT) to make data available for a wide range of analytical uses
  • Skilled in cloud-based data integrations for Azure, using technologies such as Databricks and Snowflake
  • Good Knowledge of Configuring monitoring solutions to proactively identify issues in production data pipelines
  • Experienced in data visualization and data modeling, using tools like Power BI or Tableau
  • Responsible for data analysis, testing, scripting, and development of fixes, root causes analysis during the test & validation cycles
  • Skilled in optimizing the reporting process by developing, implementing, and maintaining database systems that effectively manage information
  • Sound understanding of Data Architecture Principles, Data Governance, Data Strategy, Data Standards, Data Quality, Data Modelling, and Data Definitions
  • Strong skills in Data Modeling and Dimensional modeling. Well-versed in principles, techniques, and best practices of data modeling
  • Experienced in diligently working with application teams (ETL, Power BI) and managing all the DB-related activities such as DB modeling, design, development, maintenance, and support
  • Experienced in developing, maintaining, and processing large databases with complex relationships between tables. Written several advanced SQL queries for extracting relevant data for predictive analytics 
  • Expertise in Microsoft Office skills. Strong spreadsheet skills and comfort in dealing with substantial amounts of information are required
  • Proficient in importing, exporting, and cleaning databases using SQL, NumPy, and Pandas in Python
  • Exhibited effective communication skills and a keen understanding of project timelines and dependencies. Collaborator with excellent people skills, initiative-taking, dedication, and understanding Experienced in Agile and Scrum Methodologies and having good working techniques and participated in scrum meetings

Experience

  • Having nearly 2+ years of experience in Data Engineering, Data reporting, Data analysis, cleansing, modeling, and visualization and an overall experience of 4 years in IT 
  • Good knowledge of Azure Data Factory (ADF), Integration Runtime (IR), File system Data Ingestion, Relational Data Ingestion
  • Savvy in designing and implementing database solutions in Azure SQL Data Warehouse, Azure SQL
  • Proficient in creating Azure SQL database, performed monitoring, and restoring of Azure SQL database, and performed migration of Microsoft SQL Server to Azure SQL database
  • Skilled in developing an ETL system to replace an existing pipeline built on DTS using Python and SQL Server
  • Expertise in ingesting data from disparate data sources using a combination of SQL and Salesforce API using python to create data views to be used in BI tools like Power BI or Tableau
  • Designed and developed data engineering solutions (data virtualization, ETL/ELT) to make data available for a wide range of analytical uses
  • Skilled in cloud-based data integrations for Azure, using technologies such as Databricks and Snowflake
  • Good Knowledge of Configuring monitoring solutions to proactively identify issues in production data pipelines
  • Experienced in data visualization and data modeling, using tools like Power BI or Tableau
  • Responsible for data analysis, testing, scripting, and development of fixes, root causes analysis during the test & validation cycles
  • Skilled in optimizing the reporting process by developing, implementing, and maintaining database systems that effectively manage information
  • Sound understanding of Data Architecture Principles, Data Governance, Data Strategy, Data Standards, Data Quality, Data Modelling, and Data Definitions
  • Strong skills in Data Modeling and Dimensional modeling. Well-versed in principles, techniques, and best practices of data modeling
  • Experienced in diligently working with application teams (ETL, Power BI) and managing all the DB-related activities such as DB modeling, design, development, maintenance, and support
  • Experienced in developing, maintaining, and processing large databases with complex relationships between tables. Written several advanced SQL queries for extracting relevant data for predictive analytics 
  • Expertise in Microsoft Office skills. Strong spreadsheet skills and comfort in dealing with substantial amounts of information are required
  • Proficient in importing, exporting, and cleaning databases using SQL, NumPy, and Pandas in Python
  • Exhibited effective communication skills and a keen understanding of project timelines and dependencies. Collaborator with excellent people skills, initiative-taking, dedication, and understanding Experienced in Agile and Scrum Methodologies and having good working techniques and participated in scrum meetings

Education

  • BTech in Computer Science, Princeton College of Engineering & Technology, JNTU, INDIA - 2002 -2006
  • DP-900 Microsoft Azure Data Fundamentals
  • DP-203 Azure Data Engineer Associate Certification

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