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Lilit M.
Data Engineer
Lilit is a seasoned software and Data Engineer with twelve years of experience and a rare balance of scientific and engineering knowledge.
She has accumulated more than five years of strong experience in technical data engineering and management. She also has robust skills in architect-engineering and services consultation.
Lilit’s decision-making and problem-solving abilities are excellent, and she has a knack for creating cost-optimized data infrastructures that align with best practices and meet business needs.
Main expertise
- Hadoop 10 years
- Java 5 years
- Scala 5 years
Other skills
- AWS 2 years
- PostgreSQL 2 years
- Spring 1 years
Selected experience
Employment
Engineering Manager, Data & Insights
Webb Fontaine - 3 years 8 months
- Responsible for structuring an efficient multi-location data team, hiring newcomers, managing and coaching them;
- Designing new data pipelines, and participating in architectural decisions.
- Hadoop, Spark/Spark Streaming, Kafka, Kafka Streams, Parquet, Avro, Airflow, Delta Lake, Scala, Agile.
Technologies:
- Technologies:
Scala
Hadoop
Data Engineer
Webb Fontaine - 2 years
- Data Engineer, responsible for the implementation of Analytical System, leading a team of 4 engineers and in close cooperation with stakeholders. The main objective is to design, supply, and build big data infrastructure on top of Hadoop with batch, real-time data processing pipelines, data lakes, and data warehouses.
○ Hadoop, Ambari, Spark, Kafka, Airflow, Trino, Parquet, Avro, CDC/Debezium, Apache Atlas, Scala, Agile.
Technologies:
- Technologies:
-
Scala
-
Hadoop
Senior Engineer
DISQO - 1 year 3 months
- Implemented a CCPA-compliant Analytical System based on user behavioural data.
- AWS, EMR/Spark, Kinesis, KDA/Flink, S3, Lambda, Redshift, RDS, Airflow, Parquet, Avro, Scala, Agile.
Technologies:
- Technologies:
-
Scala
AWS Kinesis
Data Engineer
Webb Fontaine - 10 months
- Data Engineer responsible for the implementation of an Analytical System based on transactional data and in close cooperation with stakeholders. The main objective is to design, supply, and build big data infrastructure on top of Hadoop with batch, real-time data processing pipelines, data lakes, and data warehouses.
○ Hadoop, Cloudera, Kafka, Oozie, Impala, Java
Technologies:
- Technologies:
Cloudera
-
Hadoop
Senior Software Engineer, Big Data
Teamviewer/Monitis - 7 years
- Senior Engineer, Big Data responsible for the implementation of IoT project, leading a team of 3 engineers in close cooperation with stakeholders;
- Design, supply, and build GDPR-compliant big data infrastructure with real-time data processing pipelines and data warehouses;
- Implementing Rule Engine of the Monitoring project, in close cooperation with stakeholders.
Technologies:
- Technologies:
HTML
-
Cloudera
HBase
-
Hadoop
Education
MSc.Faculty of Computer Systems and Informatics
State Engineering University of Armenia · 2011 - 2013
BSc.Faculty of Computer Systems and Informatics
State Engineering University of Armenia · 2007 - 2011
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