Olivia S.

• Engineering background with 10 years startup and large companies experiences in multi-component complex system(Backend, Data Platform), large codebase and datasets(Petabytes scale), as well as strong problem-solving and analytical skills of debugging server-side codes and UI simultaneously, enjoy dive deep to solve hard engineering problems. • Experience in full feature release cycle and data lifecycle, passionate about building performant and scalable frameworks, aiming to deliver quality and modular codes in a timely manner. • Experience of applying SAFe Agile methodologies to project development as a trained scrum master, and bringing out the best of the team to drive project executions efficiently. • Effective in communicating and collaborating with cross-functional teams. Quick learner and self-motivated to learn new technologies on the fly and applying them to daily work. Skills: Java, Python, CDC, Streaming and batch data pipeline(ETL / ELT), SQL, Data analytics product, Spring Boot, SFTP/FTPS file transfer, BI workflow design, gRPC, Kubernetes, GraphQL, Javascript, End-to-end data platform feature design and implementation, RCA analysis, cross-functional collaboration, presentation. BigData technologies:GCP Dataflow, Apache Beam, PubSub, Temporal orchestration workflow DAG, DataForm, Apache Kafka, Azure Event Hubs, Amazon Kinesis, Debezium, GCS, S3, Azure Blob Storage, DeltaLake. Database/Data lakes: Databricks, BigQuery, Spanner, Elastic Search, PostgresSQL, Snowflake. Cloud: GCP, AWS, Azure. Analytics tools: Looker Studio, Tableau, Tableau Bridge, Spreadsheets Observability tools: DataDog, Sentry, Opsgenie, PagerDuty, Git, HighTouch, Jenkins, Selenium