Having nearly 2+ years of experience in Data Engineering, Datareporting, Dataanalysis, 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, Datareporting, Dataanalysis, 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
