Profileimage by Damian Kli Data Engineer, Big Data Developer, Data Analyst from Krakw

Damian Kliś


Last update: 22.09.2022

Data Engineer, Big Data Developer, Data Analyst

Graduation: not provided
Hourly-/Daily rates: show
Languages: English (Limited professional)




Kafka, Kafka Connect, Airflow, MongoDB, ElasticSearch, Django REST Framework, AWS, Python, AWS Lambda, PySpark, data warehouse, GCP, Cloud Scheduler, Cloud Functions, Data Studio, AirByte, Apache, BigQuery, PubSub, Docker, GKE. Project 4, Github, DBT Cloud, Fivetran, DataOps, GKE, Cloud SQL, Big Data, S3, EMR, EC2, DevOps, data quality, Python/PySpark, Pandas, analytics, Dash, ETL, Jupyter, SQL, DockerHub

Project history

01/2021 - 12/2021
Data Engineer
Maintained BigQuery data warehouse using DBT (450
models). Saved 3000$ monthly on BigQuery using incremental
strategy. Worked with GCP tools like Composer (Airflow),
GKE, Cloud SQL and Docker,

12/2019 - 01/2021
Big Data Developer
Worked with Data Lake on AWS using Kinesis, S3, Glue,
Athena, EMR, EC2, Lambda. Used Airflow for workflow
orchestration. Cooperated with Data Analysts/DevOps teams.
POC of a data quality testing framework using
great_expectations library. Used Python/PySpark/Pandas for
data transformation. Worked with a team spread across the
world (US, UK, India).

01/2011 - 12/2020
Data Engineer
Project 1 (startup):
Designed and implemented a data lake solution on AWS for BI.
Worked with Airflow, Python, AWS Lambda, Kinesis, Glue
(PySpark), Athena, QuickSight.
Project 2 (online school):
Implemented data warehouse solution on GCP using BigQuery,
Cloud Scheduler, Cloud Functions, Data Studio, AirByte.
Project 3 (gaming studio):
Build data infrastructure on GCP using Apache Beam, Python,
DBT(200 models), BigQuery, Airflow, PubSub, Docker, GKE.
Project 4 (finance startup):
Designed and implemented DBT with CICD on Snowflake (Github
Actions, DBT Cloud, Fivetran, DataOps)

02/2019 - 12/2019
Data Analyst
Created an analytics dashboard using Python(Dash/Docker) for
Level/Game Designers containing the mobile game's KPIs
(retention, drop-rate, engagements points, DAU, sessions).
Audit of analytics events. Simple ETL workflows. Prepared
shared Jupyter Lab environment with common libraries and
useful scripts for other analysts.

07/2018 - 02/2019
Data Quality Engineer Intern
6-months internship in Data Engineering Team. Maintained
Data Quality in Data Lake (AWS ) using SQL. Monitored
Apache Airflow workflows. Used Python (Pandas, Jupyter
Notebooks) for data and quality analysis. QA of open-sourced
project DiscreETLy available on DockerHub/GitHub.

Local Availability

Only available for the countries Poland
Profileimage by Damian Kli Data Engineer, Big Data Developer, Data Analyst from Krakw Data Engineer, Big Data Developer, Data Analyst