About me

As a Data Science Engineer, I apply my skills and knowledge in machine learning, artificial intelligence, big data, cloud computing, Python, and SQL to deliver innovative and scalable solutions for our clients. I have over ten years of experience working with cutting-edge technologies such as Databricks, Microsoft Azure, Python, SQL, Apache Spark, AWS, and GCP. I have a strong background in data engineering and data analytics role. I have developed and implemented data pipelines, workflows, and architectures using various tools and frameworks, such as Databricks, Azure Data Factory, Hadoop, Hive, MapReduce, Spark, Sqoop, Flume, Oozie, CDH, MongoDB, HBase, Oracle, MySQL, and ElasticSearch. I also have a master's degree in applied computer science from Dalhousie University and several certifications, including AWS Certified Solutions Architect – Associate, Microsoft Azure Data Engineering, Databricks Lakehouse Fundamentals and Lean Six Sigma Green Belt. My mission is to leverage data science and engineering to create value and impact for our clients and society. I am passionate about learning new skills and technologies, solving complex problems, and collaborating with diverse and talented teams. I am always looking for new challenges and opportunities to grow and contribute to the field of data science and engineering.