Engineer Data

LIRONG ZHANG DATA ENGINEER

• AWS Certified

• *+ years of industry experience

[ ****.********.*****@*****.*** https://linkedin.com/in/lirong-zhang/ www.github.com/Lirongzhang SKILLS

Software Development

• Programming: Python, SQL, Bash

• Developer Tools: Vim, VS Code, Github, TablePlus

• Testing: Pytest, Unittest, Ward, Mock, Localstack, Moto

• Operating System: Linux/Ubuntu, OSX

Data Engineering

• Database: RDBMS (RDS), NoSQL (DynamoDB)

• Data Warehouse: Snowflake, Redshift

• Database Migration: Flyway, Alembic

• Workflow Management: Dynamic Scheduler, Airflow

Cloud Infrastructure

• Cloud Computing: Lambda, EC2, ECS

• Batch Processing: AWS Batch, Spark

• Data Streaming: Kinesis Data Streams, Firehose

• Storage: S3, EBS, EFS

• Networking: VPC, Route 53, CloudFront

• Container: ECS, ECR, Fargate, Docker, Kubernetes

• Security: IAM, Secrets Manager, KMS

• Application Integration: Step Functions, SNS, SQS, EventBridge

DevOps

• Monitoring: CloudWatch, CloudTrail, Datadog

• CI / CD: Travis CI, Jenkins, Github Actions

• Infrastructure as Code: Terraform, CloudFormation Data Analytics

• BI Tools: Amplitude, Elastic Search, Kibana, Athena, Tableau, Pandas, Numpy

• Machine Learning: Scikit-learn, Statsmodels, XGBoost

• Data Visualization: Matplotlib, Seaborn, Plotly

• Methodologies: Agile / Scrum, A/B Testing

EDUCATION

MSc. Information & Communication Technology

(Double Degree)

Minor: Innovation & Entrepreneurship

Technische Universität Berlin

Oct 2015 – Jan 2019 Berlin, Germany

MSc. Information & Communication Technology

Royal Institute of Technology (KTH)

Sep 2014 – Jun 2015 Stockholm, Sweden

B.E. Electrical and Electronics Engineering

Yanshan University (YSU)

Sep 2010 – Jun 2014 Qinhuangdao, China

EXPERIENCE

Data Engineer Full Time

Babbel

Jul 2019 – present Berlin, Germany

• Work with data scientists, business analysts, product managers to develop efficient solutions for reporting and machine learning.

• Build highly available, reliable, and scalable cloud- native streaming / batch processing pipelines for large amounts of data. Main contributor of the pipeline for one of our major BI tools.

• Developed and maintain our in-house dynamic sched- uler that programmatically schedules workflows.

• Engage in data modelling, schema creation, and database

/ data warehouse management.

• Write clean code with proper documentation, ensure code quality with continuous tests, conduct code re- views. Creator of one of the most used internal data validation libraries.

• Migrated CI/CD workflows from Travis CI to Github Actions for all our data engineering repositories.

• Create logging, monitoring dashboards and alerting system to keep high data availability for stakeholders. Take on on-call duties for data incidents.

Research Assistant Full Time

Technische Universität Berlin

Aug 2018 – Jan 2019 Berlin, Germany

• Developed a series of routing algorithms for autonomous vehicles in collaboration with IAV Automotive.

• Utilize cloud computing to optimize algorithms with collected data.

R & D Intern Full Time

IAV GmbH

Jun 2017 – Aug 2018 Gifhorn, Germany

• Worked with unstructured data from the vehicle en- gine test bench rooms. Built and optimized systems that automate the calibration of engine environment parameters based on the processed data.

CERTIFICATION

• AWS Certified Cloud Practitioner Dec 2019

Amazon Web Services (AWS)

• Data Analyst Nanodegree Feb 2019

Udacity

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