Deniz Pinar

Data Engineer

Istanbul, TR.

About

Highly analytical Data Engineer with 4 years of experience specializing in Data Warehouse and BI projects across diverse tools and platforms. Proven ability to optimize operational processes, manage Teradata environments, and develop Python applications for automation. Eager to leverage strong communication and problem-solving skills in Cloud environments, driving innovative data solutions and continuous technological advancement.

Work

Digitallency (Consultant for Turkish Airlines)

|

Analytical Solutions Operation Team / Consultant

Istanbul, N/A, Türkiye

→

Summary

Led data engineering and Teradata administration for analytical solutions within the operations team, driving automation and performance tuning.

Highlights

Spearheaded data engineering and Teradata administration for analytical solutions, effectively managing grant authorities within the operations team.

Developed and integrated a Python-based "Operation Helper" application into a new website, automating critical operational processes.

Monitored system performance 24/7 via Viewpoint, proactively detecting and optimizing over-consuming queries to enhance system efficiency and reliability.

Datum (Consultant for Coca Cola Inc)

|

Enterprise Data Warehouse Developer

Istanbul, N/A, Türkiye

→

Summary

Developed and optimized ETL pipelines and stored procedures for DWH and BI projects, including a cloud migration for Teradata ODS.

Highlights

Developed and optimized complex ETL pipelines using SAP Data Services for Data Warehouse and BI projects, ensuring data integrity and efficiency.

Executed the migration of a Teradata ODS to a cloud-based SQL Server database, enhancing data scalability and accessibility.

Designed and implemented comprehensive ETL flows across STG, ODS, and CDL layers, while developing stored procedures to populate dimension tables.

Skydome

|

Textile Hardware and DWH Development

Istanbul, N/A, Türkiye

→

Summary

Developed hardware and ETL solutions for data collection from weaving machines, creating a cloud-based DWH, and implementing core computing logic.

Highlights

Developed hardware devices and ETL processes for automated data collection from Weaving Machines, subsequently establishing a cloud-based Data Warehouse.

Engineered core computing components, including primitive logic gates and an Arithmetic Logic Unit (ALU) using HDL, demonstrating foundational hardware development skills.

Created an Assembler using Lisp and a VM Translator using Python, showcasing versatility in programming languages and system-level development.

Education

YTU

N/A, N/A, N/A
→
Bachelor's Degree Naval Engineering

Languages

English

Turkish

Certificates

Informatica Power Center Training

Digitallency

Snowflake Cloud Training

Datum

Informatica Cloud Training

Datum

IBM Data Science Professional Certificate

Coursera

Data Engineering Bootcamp

VNGRS

Business Intelligence Bootcamp

Intellica

Version Control Systems

Global AI Hub

Python Core

Sololearn

Skills

Data Warehousing & BI Tools

Viewpoint, IBM Datastage, SAP Data Services, ODI, Informatica Power Center, Informatica Cloud, Teradata, Snowflake, MSSQL, Oracle.

Programming & Scripting

SQL, Python, Lisp.

Version Control & Project Management

Git, Jira, Trello.

Hardware & System Design

Dr.Racket, Hardware Simulator, HDL (Hardware Description Language).