I'm a Lead Data Engineer with a deep-rooted passion for the world of data. I thrive on unraveling the complexities of data to uncover actionable insights and drive meaningful change. I'm on a perpetual journey of learning and growth, constantly seeking out new challenges and opportunities to expand my knowledge and skills in data engineering.

• Languages: Python, SQL, C#, Scala
• Frameworks/Libraries: Apache Spark, Hadoop, Kafka, Pandas, TensorFlow
• Tools & Technologies:Azure,Docker, Kubernetes, Git, Jenkins
• Databases: SQL Server, Oracle, PostgreSQL, MongoDB, Cassandra
• Other: Machine Learning, Data Visualization, ETL Pipelines

Here are some of the projects I've worked on:

• Data Lake Solution: Designed and implemented a scalable data lake architecture, enabling efficient data storage, processing, and analysis for large-scale datasets.
• Real-time Data Pipeline: Developed a real-time data processing pipeline using Apache Kafka and Spark Streaming, facilitating instant data insights and decision-making.
• Predictive Analytics Model: Created a machine learning model to predict customer behavior, enhancing targeted marketing strategies and improving customer engagement.

Feel free to check out my projects and connect with me for more insights!

• LinkedIn: Javier Gómez Avellaneda
• Email: [email protected]

Beyond my professional life as a Lead Data Engineer, I'm an avid explorer of the vast and ever-expanding universe of data. Whether it's delving into the latest data science techniques, contributing to open-source projects, or mentoring aspiring data enthusiasts, I'm all in. If you're navigating the intricate world of data and need some guidance, or if you're just looking to exchange ideas, don't hesitate to reach out. Let's embark on this data journey together!