A focused Data Engineer with a strong foundation in Python, PySpark, SQL, data analytics, and enterprise-scale data warehousing. Proven expertise in designing, building, and optimizing robust data pipelines and transform…
A focused Data Engineer with a strong foundation in Python, PySpark, SQL, data analytics, and enterprise-scale data warehousing. Proven expertise in designing, building, and optimizing robust data pipelines and transformation workflows to support advanced analytics and business intelligence.
Managing HRMS software and deployment of databases.
Maintaining the databases.
Ensuring the databases were updated according to new policies from different clients.
Using MySQL, SSMS and Azure.
Managing HRMS software and deployment of databases. Maintenance of the databases and ensure they were update according to new policies from different clients. Tools were likely to be MYSQL, SSMS and Azure.
Experience working with Azure environment and services like Azure Data Factory, Azure Synapse, Azure Databases. Experience with AWS Environment and services like S3, IAM, Cloud Watch, VPC, AWS Glue, AWS SAM and AWS Lambda. Providing services in creating and maintaining Data ETL pipelines and workflows and Data Transformations.
Migrated enterprise datasets from dedicated SQL server pools to serverless SQL pools using SQL Server Management Studio (SSMS) and Oracle.
Optimized performance and scalability.
Designed and implemented complex data transformation pipelines using Azure Data Factory Data Flows.
Developed and executed PySpark-based transformation scripts within Azure Synapse Analytics notebooks.
Gained hands-on experience managing virtual machine environments.
Executed tasks in remote, cloud-based setups.
Migrated enterprise datasets from dedicated SQL server pools to serverless SQL pools using SQL Server Management Studio (SSMS) and Oracle, optimizing performance and scalability. Designed and implemented complex data transformation pipelines using Azure Data Factory Data Flows. Developed and executed PySpark-based transformation scripts within Azure Synapse Analytics notebooks. Gained hands-on experience managing virtual machine environments and executing tasks in remote, cloud-based setups.
Applied object-oriented and functional programming techniques to solve real-world data engineering problems.
Enhanced critical thinking and problem-solving skills.
Authored technical blogs for the company website.
Focused on Big Data solutions and industry trends.
Gained experience in data warehousing concepts including data modeling, star and snowflake schemas.
Created interactive, insightful dashboards to support data-driven decision-making.
Clearly conveyed business logic.
Applied object-oriented and functional programming techniques to solve real-world data engineering problems, enhancing critical thinking and problem-solving skills. Authored technical blogs for the company website, focusing on Big Data solutions and industry trends. Gained experience in data warehousing concepts including data modeling, star and snowflake schemas. Created interactive, insightful dashboards to support data-driven decision-making and clearly convey business logic.
Conducted black-box testing.
Contributed to improving software reliability through effective test case design.
Assisted in generating ad-hoc reports.
Identified key software performance metrics.
Working with Azure environment and services like Azure Data Factory, Azure Synapse, and Azure Databases.
Working with AWS environment and services like S3, IAM, Cloud Watch, VPC, AWS Glue, AWS SAM and AWS Lambda.
Creating and maintaining data ETL pipelines and workflows.
Performing data transformations.
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