Hassan has 17 years of experience, with increasingly responsible roles, building data and analytics platforms in finance, telecom, logistics, smart city services, health care, and e-commerce. He has been leading teams to strategize, budget, design, implement, and evolve Big Data platforms, AI use cases, and BI applications. He has lead a team of Data Engineers, Data Scientists, and Data Analysts to successfully deliver 17 data science use cases at a government traffic and transportation organization. He has helped grow a technology startup from one dev-partner customer to more than a dozen enterprise customers. He was the technical leader to develop a data platform that integrated data from 7 operational systems and provided more than 50 reports. Hassan was part of multi-organizational teams to implement more than 20 customer on-boarding projects and reduced implementation time by appx 30 % in the program. Tools & Technologies DBMS: Teradata, Oracle, Postgres, MySQL, MS SQL Server, Redshift, Snowflake, HP Vertica, CouchBase BI & Visualization: MicroStrategy, Tableau, PowerBI, BIRT, D3, Leaflet Distributed Data Engines: HDFS/Hadoop, Hive, Impala, Kafka, Kafka Stream, Spark, Apache Beam, S3, Athena, Redis, Elasticsearch, MongoDB, DynamoDB GIS Tools: QGIS, ArcGIS Javascript Lib, Uber DeckGL Programming Languages: Python, Scala, Java, JavaScript, C/C++ ETL Tools: Informatica, Apache Kettle, Apache NIFI, Apache AirFlow, AWS Glue Cloud Computing: Amazon Web Services, GCP, MS Azure, Docker, Kubernetes Highlights of his data engineering and analytics experience includes 1) On-site and cloud based highly scalable data management systems 2) Data modeling and integration 3) Traditional DBMS based data warehouse implementations 4) Batch and streaming data processing 5) Big Data platform - developing data pipelines 6) BI reporting and dashboard 7) Operationalizing AI use cases