• At Lusha, I elevated our infrastructure using Spark, Airflow, K8s, Kafka, Snowflake and Databricks, paving the way for advanced data processing.• Designed ETL pipelines for diverse scenarios, optimizing data flow for informed decision-making.

• Part of Data and Analytics department, AI & Big Data team.• Building Data Lake and maintaining ELT processes in Hadoop environment.• Designing, developing and maintaining scalable data pipelines using Python and Spark.• Working closely with data scientists to assist on feature engineering and building data panels formachine learning models using PySpark.• Working with structured and semi-structured data.• Using various sources and targets such as Kafka, HDFS, DWH and Elasticsearch.

• Part of the Data and Analytics department, DWH team.• Building, maintaining, expanding and improving data warehouse environment.• End-to-end projects management from business requirements gathering to technical implementation of BI solutions using complicated SQL queries and procedures.• Optimizing and troubleshooting ETL processes.