Backend Engineer | Data Platform | Airline Revenue ManagementSpecialized in building data platform that empower ML and DS teams in the airline industry. Technologies used in everyday basis: - Python - SQL - BigQuery - GCP - Composer - Apache Airflow - Kubernetes - PagerDuty - DataDog - Looker - MonteCarloDaily Responsibilities: - Analyzing business data related to airlines and providing key performance indicators for end users. - Designing and implementing ETL (Extract, Transform, Load) workflows for our data warehouse. - Collecting, processing, and loading various types of data into our data warehouse. - Optimizing database queries for efficient processing. - Fine-tuning backfill process to reduce data processing costs. - Creating automation processes for schema migrations in databases. - Collaborating with TPO to design and deliver complex application features/workflows - Creating Unit Tests using pytest library

Involved in test automation team:- Development of test scenarios using Java (Selenium/JUnit/TestNG)- Preparation of test jobs using Jenkins.- Creating performance tests in JMeterInvolved in Telco projects for customers in Japan and South Korea (monitoring Mobile/5G networks):- Creating clusters monitoring from Kubernetes and OpenStack, using Prometheus, Apache NiFi and ETL tools.- Analysis and configuration of Performance Management to manage Key Performance Indicators- Preparing the ETL process - data extraction from network data sources (RAN/Core/5G)- Analysis and processing of data from telecommunication networks - creating reports using SQL queries- Conducting onsite/online workshops with customer to gather business requirements- Business requirements analysis- Conducting trainings for users- Taking part in User Acceptance Tests- Creating HLD and LLD documents- Workstream leaderInvolved in the internship program as an intern supervisor:- Introducing to the department and providing training to interns- Supervising and delegating new task regarding cluster monitoring