Results-driven Data Engineer and Full Stack Developer with a robust background in data analysis, software engineering, and solution-oriented architecture. Skilled at leveraging a diverse technical toolkit, I specialize in building end-to-end data solutions, optimizing data pipelines, and developing scalable applications that enhance business insights and operational efficiency.With expertise across Python, SQL, JavaScript, and cloud platforms (AWS, Azure, GCP), I develop solutions that meet both immediate project goals and long-term data strategy needs. I thrive at the intersection of data and development, focusing on clean, efficient code and agile methodologies to deliver impactful results. My background in data engineering and analysis allows me to create workflows that turn raw data into actionable insights, supporting critical decision-making and empowering data-driven strategies.Technical SkillsProgramming Languages: Python, Java, Scala, SQLData Technologies: Apache Hadoop, Apache Spark, Apache KafkaDatabases: MySQL, PostgreSQL, MongoDB, Amazon Redshift, Microsoft SQL ServerETL Tools: Apache NiFi, Talend, Informatica, AWS GlueData Warehousing: Snowflake, Google BigQuery, Amazon RedshiftCloud Platforms: AWS (Amazon Web Services), Microsoft Azure, Google Cloud Platform (GCP)Containerization and Orchestration: Docker, KubernetesData Modeling: Dimensional modeling, Star and Snowflake schema designData Visualization: Tableau, Power BI, LookerVersion Control Systems: Git, GitHub, GitLabSoft SkillsProblem-Solving: Ability to analyze complex problems and devise effective solutionsCollaboration: Experience working with cross-functional teams to achieve project goalsCommunication: Proficient in explaining technical concepts to non-technical stakeholdersAdaptability: Quick to learn new technologies and methodologies in a fast-paced environmentAttention to Detail: Strong focus on accuracy and quality in data handling and analysis