Data Engineer Software

Nguyễn Lập Thành ( Data Engineer Fresher )

*****************@*****.*** • 093******* • linkedin.com/in/th%C3%A0nh-l%E1%BA%ADp-b73941250 github.com/LapThanh

Detail-oriented Junior Data Engineer with a strong foundation in database management and ETL processes. Proficient in Python, SQL, and data warehousing, eager to contribute to dynamic projects. EDUCATION

On-hand Jul 2019 - Present

University of Transport and Communications

WORK EXPERIENCE

Software Engineer Jan 2023 - May 2023

Bosch Global Ho Chi Minh

Improved team collaboration and knowledge sharing by introducing collaborative tools and conducting regular knowledge-sharing sessions, resulting in a 30% decrease in siloed work.

Participated in code reviews and provided valuable feedback, leading to a 30% reduction in bugs and enhanced code quality. SKILLS

DBMS: Posgres SQL

NoSql: MongoDB

English: Toeic(650)

Cloud: Aws Ec2, Aws glue, Aws s3

Tech: Apache Spark, Apache Airflow, Apache Kafka, Python CERTIFICATIONS

HACKERRANK SQL (Advanced) Certificate by HACKKERRANK Architecting Solutions on AWS by AWS

PROJECTS

Design Data Warehose for Banking (https://github.com/LapThanh/Data_WH_Banking) The project aims to build a data warehouse system for a bank to support analytical purposes.

+ Technologies: Apache Spark, Apache Airflow, Pandas, Snowflake,Tableu, Python

+ The focus is on optimizing Spark jobs while also using Faker to generate simulated data. Weather Iot Streaming Project (https://github.com/LapThanh/Iot-Streaming-Project) The project focuses on processing streaming data from simulated IoT devices.

+ Technology : Apache Spark, Apache Kafka, Python, Grafana

+ Processing large-scale data with Spark Streaming

+ Optimizing streaming data flows using Kafka

+ Analyzing data with Grafana

ETL for Accident Analyst (https://github.com/LapThanh/accident-data-project) Create full ETL pipeline with airflow and spark for accident analyst

+ Technology : Apache Spark, Apache Airflow, AWS Service

+ Using Airflow to schedule ETL processes.

+ Transform data using Spark

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