As a Senior Data Engineer, I specialize in building scalable data pipelines and architecting end-to-end data solutions that power data-driven insights and predictions. With a strong background in data engineering, I work on advanced data science projects focused on predicting customer behaviors, such as next product purchases or future service needs, among many other key business objectives.I have hands-on experience with a wide array of technologies, including Kafka, Databricks, Airflow, Apache Spark, Scala, Python, PySpark, and cloud platforms like AWS. I am proficient in building robust data pipelines and managing them from development to production, ensuring smooth orchestration and seamless integration across different systems.My expertise extends to managing large-scale data warehousing solutions in Snowflake and Redshift, creating Data Products and Feature Stores for training and inference, and leveraging MLOps practices to maintain and monitor machine learning models. I also have a strong focus on automating workflows with GitHub Actions, Jenkins, and Python-based REST client libraries to support continuous integration and delivery.By enabling data-driven decision-making and enhancing machine learning models with real-time, high-quality data, I help organization optimize operations and improve customer experiences.

As a passionate Software Developer with a good foundation in Java and Python, I am eager to apply my skills to develop efficient, scalable, and reliable software solutions. I have hands-on experience working with Hadoop ecosystems (including Cloudera and Hortonworks), and I am familiar with distributed computing and big data technologies.I am excited to contribute to innovative projects, collaborate with cross-functional teams, and continuously expand my expertise in software development, data engineering, and cloud-based technologies.