Tim Robinson Email and Phone Number

Lead team of engineers in building a self-service Data Platform utilizing Confluent Platform (Kafka) and DatabricksArchitected, designed, and built self-hosted Confluent Platform deployed on AWS utilizing EKS (Kubernetes)Mentored junior engineers on building ELT Pipelines utilizing PySpark on DatabricksMentored junior engineers on CI/CD best practices utilizing Azure Devops Pipelines

Data Engineering• Lead team of engineers in building real-time data ingestion pipelines utilizing AWS and Apache Pulsar• Architected, designed, and built processes to reduce the length of time of onboarding from weeks/months to minutes• Architected, designed, and built solutions to automate Fraud and Compliance checks• Architected, designed, and built solutions to automate customer underwriting• Pioneered efforts to utilize strong OOP principles in python to facilitate the team to start writing “code” instead of scripts

Data Engineering• Lead team of engineers building real-time event driven architecture solutions• Architected, designed, and built a data pipeline ingesting over 1 million events per hour with a consistent < 200ms latency• Utilized AWS Serverless technology to build Apollo Federation GraphQL layer to expose analytical data from the warehouse• Utilized Ralph Kimball modeling methodologies to design the data warehouse

Data Engineering• Responsible for the design, architecture, and implementation of our serverless AWS cloud based big data pipeline.• Utilize Apache Kafka in conjunction with Apache NiFi to ingest events from millions of IOT devices every day• Lead team of engineers on best practices for big data processing/automation• Utilize AWS serverless technologies for cost efficient data processing. AWS Lambda, S3, Glue, Athena, Kinesis, etc.• Display expert level knowledge with AWS Cloud Architecture and distributed processing.

Data Warehousing:• Architect a cloud based data ingestion platform utilizing .Net Core, AWS S3, AWS Kinesis Firehose, and AWS Redshift• Utilize Ralph Kimball modeling methodologies to design star and snowflake schemas• Lead data mart architecture by coaching a team on raw data extracts and transformation insights that are within the data

Data Warehousing:• Develop ETL processes to move data from OLTP systems into a data warehouse by authoring a custom .NET application• Build over 50 .NET, T-SQL, PL/SQL, and SSIS ETL processes for enterprise data warehouse and reporting systemsTransactional Systems:• Architect new Point of Sale database which interfaces with new UX and UI layers for over 1,400 store locations• Produce accounting reports, using complex SQL queries, to rectify over one million dollar discrepancies on the general ledger

• Streamlined ETL processes from a variety of data sources into the platform’s single database to increase ease of use.• Lead development for all ETL processes, VB.Net, C#, and SQL stored procedures to ensure source code was optimized.• Debugged all database process, SOAP web services, rest web services, reports, and customer production issues.