Leon Kozlowski
About Leon Kozlowski
Leon Kozlowski is a Data Engineering Manager at Flock Safety in the Atlanta Metropolitan Area, specializing in scalability, tooling, reliability, and observability in data systems.
Company
Leon Kozlowski is currently working at Flock Safety in the Atlanta Metropolitan Area. His role at the company is Data Engineering Manager, where he contributes to improving the organization's data infrastructure. Prior to this, he progressed from a Data Engineer to a Senior Data Engineer within the same company, showcasing his growth and expertise in data engineering.
Title
Leon Kozlowski holds the title of Data Engineering Manager at Flock Safety. In this position, he is responsible for overseeing the data engineering team and enhancing the data systems' scalability, reliability, and observability.
Education and Expertise
Leon Kozlowski obtained a Bachelor of Arts in Economics from Rutgers University, where he studied from 2014 to 2018. He has developed a comprehensive skill set in various programming languages including Python, SQL, TypeScript, Groovy, Go, HCL, and Unix scripting. Additionally, he has hands-on experience with databases like PostgreSQL, Redshift, DynamoDB, and Redis, along with modern data engineering tools such as DBT, Docker, Kubernetes, Terraform, Helm, Grafana, Jenkins, and GitHub Actions. Kozlowski is also proficient in AWS services and has knowledge of GCP.
Background
Leon Kozlowski has built a solid background in data engineering and analytics. He began his career as a Wealth Advisory Intern at MassMutual Tri State in 2017. He then transitioned to Bloomberg LP, where he worked as a Data Analyst for two years followed by a role as a Data Engineer for one year. His journey continued at Flock Safety, where he served as a Data Engineer and then a Senior Data Engineer before being promoted to Data Engineering Manager.
Achievements
Leon Kozlowski has specialized in addressing key challenges in the data industry, focusing on improving scalability, tooling, reliability, and observability within data systems. His work involves the effective use of orchestration tools like Prefect, Airflow, and Luigi, ensuring smooth and efficient data workflows. His proficiency in utilizing AWS services such as EC2, S3, EKS, ECS, SQS, SNS, Lambda, and Kinesis further validates his technical capabilities and contribution to building robust data infrastructures.