As a Technical Architect, I bring over a decade of years of experience in designing and developing software systems on various cloud platforms. I specialize in developing comprehensive data management and serving platforms. My expertise spans building data pipelines, leveraging machine learning frameworks, and employing serverless architecture. I have hands-on experience with RESTful web services, Python, AI/ML Frameworks, LLMs, Apache Spark, Databricks, and Spring JPA.In addition to my data science skills, I excel in building cloud-based analytics systems and data warehousing using Databricks. I am proficient in developing Spark applications for data extraction, transformation, and aggregation. My experience extends to building Data as a Service (DaaS) systems and establishing robust data governance models focusing on data security, lineage, compliance, versioning, and auditability.I am passionate about hiring, developing, and managing teams to achieve successful deliveries. I have built custom ETL pipelines using Airflow, developed dimensional models, and handled petabyte-scale data volumes with advanced SQL and performance tuning. My skills include data visualization with tools like Tableau and Apache Superset, and I have a solid understanding of architectural patterns, domain-driven design, and microservices.With a solid understanding of architectural patterns, domain-driven design, and microservices, I am passionate about creating innovative solutions that meet business needs and compliance requirements. My collaborative approach and ability to work in fast-paced environments drive successful outcomes in cloud-based solutions, data science, and machine learning projects.
Listed skills include Java, C, Sql, Javascript, and 27 others.
