Berker Kozan Email & Phone Number

London, England, Gb

I am a member of Databricks Center of Excellence TeamI got "Global Shell Recognition Award" for 2023Presentation about Delta Sharing in a Databricks User Community Event in Brussel • Across Regions * Cloud ProvidersDelta Live Tables Pipelines & Data Asset Bundles • Serverless, Materialized Views, Streaming tables, Liquid Clustering, Vector Deletion, Append flows...Setting up Databricks on AWS as a platform (Biggest achievement in my career) Devops • Terraform, Repo, Terraform State Design & Implementation • CI/CD, Github & Github Actions Design and Support Implementation Platform Admin • Integration of Databricks with AWS • Unity Catalog Full Design and Implementation User Management • Workspace Configuration • Storage Credentials and External Location AWS Solution Architect • Network (VPC, Subnets) • Security (Security groups) • User Access Management (IAM Roles) • Service Control Policies • Multi-tenancy Design & Implementation Developer •API Gateway (Rest), Lambda function Data Engineer Architect • End2End design • Setting standarts

Amsterdam, North Holland, Nl

* Aws (Iam, Kinesis Firehose, Sqs, Sns, Lambda, S3, Sagemaker, Dynamodb, Cloudformation), Airflow, Snowflake, Dbt, Gitlab* POC with MWAA (Managed Airflow in AWS) and made presentation about it* Made presentations about Databricks (Data Engineering & MLOps perspective)* Deep research into Kafka (Tiered Storage, Ksql, Kafka Connect, Transactions, CQRS, CDC, Schema Evolution)* Research into InfluxDB* Datawarehouse Modelling (Kimball)

Zurich, Zh, Ch

Aws, Dbt, Data Warehouse, Sql and Python in Claims Domain

Munich, De

* Pyspark (Advanced Level Pipeline Design and Optimization) on a production-level project, reduced the processing time of a transformation (there are 50 transformations like that) from 8 hours to 15 minutes by incremental processing and by using the tricks Daniel Tomes presented on "Apache Spark Core—Deep Dive—Proper Optimization" video in Spark & AI summit 2019* Studied Databricks, Advanced Spark, Delta Lake, ETL, Data Warehouse, Z ordering, Lambda Architecture, Delta Architecture, Streaming, etc. in depth* Scikit-learn, Jupyter, Python, Mongodb and Docker on a POC project* NLP algorithms, including Bert and GPT

Istanbul, Turkey, Tr

* Core member of Omni Channel Project, unifying all the Alternative Distributed Channels gateways in one WCF service - Near real time Logging Mechanism (20 seconds average) which consists of both coding and database. Designed, implemented and deployed to production on my own. Technologies: Oracle, Associative Arrays, Pl/Sql, Partitioning, Indexing, C#, Design Patterns, Multithreaded Programming, Advanced File Operations, Linq - Request and Response designs, Xml library, Error Handling Mechanism, connecting errors with logging and monitoring, Ims (Ibm Mainframe) connection library - Implemented near real time monitoring layer for System Engineers. Processing logging tables and aggregating to new detailed tables which can be queried by Pl/Sql quickly. Code and database implemented on his own* Compared MongoDB and Oracle insert/select performance and wrote an internal paper* Custom Ajax call framework by using Jquery, prototypes, C# and reflection

Tr

2010 October - 2013 January : Retail Internet Banking2013 January - 2014 January: BT Architecture2014 January - 2016 October : Retail Internet Banking

Istanbul, Pendik, Tr

Improved C#, learned .Net and Stored Procedures

Master Of Science - Ms, Data Analytics

Master Of Science - Ms, Artificial Intelligence

Bachelor’S Degree, Computer Engineering

High School