Software | Data Engineer

2/2022 – 7/2023

Responsible for developing, designing, and implementing data pipeline project.

Designed and built scalable, robust, and maintainable data pipelines and ETL processes to efficiently process and transform large volumes of data.
Worked on an HR Analytics Platform, parsing job postings and implementing analytics to feed into SaaS platforms and Market Intelligence projects.
Developed and maintained data warehouses and databases using technologies such as Redshift and PostgreSQL.
Wrote clean, efficient, and well-documented code in Python for various data engineering tasks.

Elasticsearch, Amazon Web Services (AWS), Apache Spark, Big Data, ETL, Python

4/2021 – 2/2022

Responsible for developing, designing, and implementing logistic system from end-to-end.

Design, development, and implement logistics application using Flask Python Framework.
Collaboration with Product Management to maintain a high bar for quality in a fast-paced, iterative environment.
Write clean, efficient, and well-documented code in Python.

Oracle Business Intelligence (BI), Python

2/2015 – 4/2021

Responsible for developing, designing, and implementing analytical models and tools.

Development and improvement of existing analytical models and tools.
Creation of reports and short-term prediction models for management decision-making.
Participation in the development of the KPI model. Regional efficiency analysis.
Writing BRD for the IT department.

Responsible for developing, designing, and implementing data services component.

Collecting and processing data from various sources.
Performing data validation, enrichment, and cleaning.
Preparing data for subsequent analysis and daily reports.
Ensuring persistent data storage for long-term usage.

Apache Spark, Big Data, Business Intelligence and Reporting Tools (BIRT), Power Bi