Data Engineer | DevOps | SQL
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Passionate and dedicated Data Software Engineer with a strong foundation in programming languages, data tools, and cloud services. Excited to leverage my skills and experience to drive data-driven solutions, optimize processes, and contribute to the success of a dynamic team in a data software engineering role.
● Employed Scala, Python, and Apache Spark within Databricks to orchestrate data flows and oversee ETL processing.
● Proficiently managed data with Informatica, ensuring seamless integration.
● Skillfully navigated data queries using SQL tools, contributing to insightful decision-making.
● Crafted and edited Excel sheets for data analytics and record keeping.
● Proficient in JSON scripting for data exchange.
● Linux navigation and troubleshooting using PuTTY.
● Provided production support, ensuring real-time monitoring and rapid error resolution.
● Meticulously documented data workflows and best practices.
● Leveraged Global Views and Query Grid Views for enhanced data insights.
● Utilized advanced tools like Open Ingest (OI), Data Processing Library (DPL),
Kubernetes, MinIO, NDW, Salesforce, and AWS
● Committed to iterative refinement for process optimization.
2022
devCodeCamp
● 12-Week, project based coding bootcamp building real-world full stack applications.
● Utilized Python and the fundamentals of programming, problem solving, critical thinking, and debugging along with object-oriented programming, inheritance, data structures, error handling, UML class diagrams, DevOps best practices, and testing.
