# Deniz Pinar - Data Engineer
Source: https://hello.cv/denizpinar
Istanbul

## Links
- LinkedIn | https://www.linkedin.com/in/deniz-pinar-data-engineer/

## 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
### Analytical Solutions Operation Team / Consultant | Digitallency (Consultant for Turkish Airlines)
Led data engineering and Teradata administration for analytical solutions within the operations team, driving automation and performance tuning.
- 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.
### Enterprise Data Warehouse Developer | Datum (Consultant for Coca Cola Inc)
Developed and optimized ETL pipelines and stored procedures for DWH and BI projects, including a cloud migration for Teradata ODS.
- 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.
### Textile Hardware and DWH Development | Skydome
Developed hardware and ETL solutions for data collection from weaving machines, creating a cloud-based DWH, and implementing core computing logic.
- 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 | 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)

## Source
Read this profile on Hello.cv: https://hello.cv/denizpinar
Create your free profile at https://hello.cv