Hi there! I'm an experienced Data Engineer with a passion for building robust data pipelines and delivering valuable insights. With a strong background in SQL, Python, and data warehousing, I specialize in seamlessly integrating data and creating efficient ETL processes. I have hands-on experience with various cloud platforms like AWS (S3, EC2, ECR, ECS, Lambda) and databases like Oracle, PostgreSQL, and Snowflake. I thrive in collaborative environments and have a track record of successfully managing projects and mentoring junior team members. Let's work together to turn your data into actionable intelligence!
Skills:
SQL, PL/SQL: Proficient in designing and optimizing complex SQL queries, ensuring data accuracy and performance.
Python: Experienced in using Python for data processing, data analysis, and building data pipelines.
DBT: Skilled in using DBT for data transformation and modeling, enabling data-driven decision-making.
Cloud Platforms: Proficient in leveraging AWS services like S3, EC2, ECR, ECS, Lambda, and CloudWatch for scalable data solutions.
Databases: Expertise in working with Oracle, PostgreSQL, SQL Server, Snowflake, and Redshift.
Data Warehousing: Experienced in data warehousing concepts and implementing efficient data storage solutions.
Data Analysis and Quality Control: Adept at analyzing data, identifying patterns, and maintaining data quality standards.
Healthcare Analytics, Retail Analytics: Specialized knowledge in healthcare and retail domains for meaningful insights.
Agile Methodology: Skilled in Agile Scrum and Agile Kanban frameworks for efficient project management.
Version Control: Proficient with Git, GitHub, and Tortoise SVN for collaborative development.
Project Management: Familiar with Jira and Redmine for effective project tracking and task management.
Microsoft Excel, Google Spreadsheet: Experienced in using spreadsheet tools for data analysis and reporting.
C, C++, Django: Proficient in C and C++ programming languages, with some experience in Django web development.