Experiences:
2.5-year experience in bank DataTeam, in charge of Local Regulatory Report such as Basel III ETL reform. had experience in Hadoop Ecosystems such as HDFS, ZooKeeper, MapReduce, PySpark, Hive, Spark on Yarn; Strong experience in python.
3-year experience in quantitative development, backtesting with large datasets
3-year experience in Telecommunication, signal processing, algorithm design. 1 U.S. patent first author
Skill sets:Language: Python, MATLAB, C, HTLM, JavaScripts
DB: Oracle SQL, PostgreSQL , MYSQL, MongoDB, DynamoDB
Application Server: Apache
why working with me?
Here's what I do best!
technical expertise
With over five years of experience in data engineering and quantitative development, I possess strong technical expertise in Python, Hadoop and AWS, driving impactful projects in the banking and fintech sectors.
problem-solving
My problem-solving skills are evidenced by my successful development of complex ETL processes and algorithms, enabling effective data management and enhancing system performance.
passion
Fueled by a passion for innovation and knowledges, I continuously seek to integrate cutting-edge technologies and methodologies in my work and life. Also passionate about financial business logic and the intricate mechanics of markets. To deepen my expertise, I am actively pursuing the CFA designation, equipping myself with advanced financial analysis, investment, and regulatory knowledge.
Collaborative and Results-Oriented
I work in cross-functional teams, collaborating with stakeholders from finance, operations, and technology to deliver high-impact projects. My ability to communicate complex technical concepts in a clear and actionable manner ensures alignment and drives success.