I am a skilled Data Engineer with expertise in Power BI, Azure, AWS, SQL, Python, and ETL pipelines. I have a proven track record of creating cost-effective data solutions to drive value for businesses.
I have a passion for data engineering and for helping companies extract meaningful insights from their data. I have developed ETL pipelines for a wide range of data sources, including relational databases, NoSQL databases, flat files, and APIs. I'm proficient in Power BI for creating dashboards and visualizations, and I have experience with Azure and AWS for cloud-based analytics solutions.
I have a strong understanding of SQL and Python and a knack for data manipulation, analysis, and mining. I'm always up-to-date with the latest trends in data engineering, and I'm eager to apply my knowledge to solve challenging problems.
Professional Skills -
Programming:Python, SQL, Java, shell script.
Analytics Tools: SSRS, Excel, Tableau.
ETL Tools: SSIS, AWS Glue.
Databases: MySQL, Oracle, MongoDB, Teradata.
AWS tools: EC2, EMR, S3, Glue, RDS, Athena.
Big Data: Hadoop, Hive, Spark, Pig, Kafka, YARN.
I'm a motivated self-starter who enjoys working independently and collaboratively. I'm also an excellent communicator, with the ability to explain complex data concepts to colleagues and stakeholders of all levels.
If you're looking for an experienced and reliable data engineer to help you maximize the value of your data, please get in touch.
