Enes Teymir

• Developing pipelines by Databricks, PySpark, BigQuery. • Building the CI / CD with GitHub. • Enriching Looker dashboard to help Customer Tracking Team to check 1 billion events per day.

• Managing DBs in Snowflake • DBT integration for CI / CD , datamarts , views etc. • Using GitLab for repository management

• Creating data pipelines by Azure Data Factory , Azure Blob Storage and Azure Databricks. • Managing Azure SQL DB, creating Tables, SPs and Views. • CI / CD by Azure Devops GIT and Bitbucket. • Using Python, RestAPI and Postman to retrieve data from Amazon, Ebay, Kaufland, Plenty, Scoro, JTL • Monitoring pipeline logs and checking data with Azure Log Analytics and PowerBI.

• Managing Vertica and PostgreDB. • Creating SPs, Views, Datamarts for Data Scientists. • ETL/ELT using Apache Nifi, Python. • Data wrangling and Web Scraping using Python. • Systems controlling in Linux.

• Using Azure Databricks, Azure Data Factory, Azure ML and Amazon Athena. • Responsible for preparing Power BI Dashboard, Dataset and Dataflow. • Automating manual processes with Microsoft Power Automate. • Responsible for Tabular Model and OLAP Cubes. • Taking part in the processes of ETL. • Developed Predictive Model in Python and Azure ML, deciding whether a product ingredient is trend or not.

• BI Consultant at LeasePlan Company that is the global leader in the field of fleet vehicle rental. • I've created Dashboards and Reports by using SAP BO and Qlikview tools. • Responsible for Management of Web Intelligence, BI Launchpad, CMC, and IDT. • I 've managed the Data Warehouse and created related Stored Procedures.

• I was responsible for digitalization of all departments in the field of BI processes. • I've prepared dashboards by using Power BI and QlikView • I’ve developed first SSAS project for BTSM. It is a tabular model that consists of sales,stocks,targets,suppliers etc detailed data. • I've worked with BI Dev team from YH HQ for DWH project that belongs to BTSM. • I've helped to the process of deciding KPIs of operations in company by finding related tables in ERP system tables and DWH.

• I’ve written complex queries in T-SQL. • I have prepared reports/dashboards by using SSRS ( MS Report Builder ) • I have prepared special KPI dashboards by using Microsoft Power BI for Operational Directors, Managers and LcWaikiki Stores • I've wrote DAX codes and managed OLAP Cubes especially prepared for merchandising operations. • I've tried to improve my skills in Python & Data Science subjects so that I could add predictive algorithms' outputs to dashboards.

• Management Information Systems • Database Management Systems • Data Mining • Statistical Data Analysis • Decision Making Techniques in MIS • Manufacturing Information Systems • Quality Assurance in Software Development • E-Marketing • Project Management • Creativity and Innovation

Statistics Operation Research Optimization Simulation Python Decision Making