The Open University

Ort Singalovsky College

Data & Software Engineer at DoubleVerify

- Building and maintaining our services in python - data enrichment and providing relevant data to users.
- Building and maintaining data processing flow + automation of the flow from assets data files to searchable indices in the db.
- Actively initiating and involved in processes and team practices improvement.
Technologies & frameworks: Python, pyspark, airflow, opensearch/elasticsearch, kafka, AWS, redis, databricks, jenkins, kubernetes and more

Lusha

Senior Software Engineer

I have successfully accomplished:
- Real time events consolidation mechanism on a very large scale written in Scala using Kafka and Kafka Streams.
- Reduced deployment process complexity.
- Improved the integration of the classiﬁcation system.
- Technologies & frameworks: Scala, kafka, kafka streams, schema registry, avro, bigquery, aerospike, gitlab, jenkins, kubernetes and some AWS: athena, dynamo, opensearch, eks and more

DoubleVerify

Data & Software Engineer

I have successfully accomplished:
- Created light-weight real-time data processing with Go and Redis. 
- Implemented completely new design of data entities for our clients. 	
- Dramatically reduced operation costs of data processing infrastructure and storage. 
- Increased resilience by various automatic data replay scenarios. 
- Technologies & frameworks: Go, kafka, redis, elasticsearch, bigquery, google cloud and more...

PerimeterX

Senior Data Engineer

I have successfully accomplished:
  - Data processing flow from ingestion to querying the data on AWS( S3, EMR Cluster with Spark, Redshift).
  - This flow/engine is continuously providing content for R&D, product and account managers according to their needs. Today, most of our inner dashboards and customer reports are based on this processed data (redshift tables).
  - Carefully optimized the flow for low costs and acceptable performance): optimization of execution scripts, redshift tables, maintenance. 
  - This architecture is successfully processing about 2TB of data daily. I’ve used Spark (Scala lang) to write aggregation/processing layer.
  - Processed data is inserted into Redshift tables hourly. Real-time flow is currently in design stage.
  - Built numerous defensive mechanisms doing sanity checking, error logging, status dashboards and alarming. I have used spark accumulators, AWS Cloudwatch, Jenkins, Redash, Prometheus TSDB, Grafana.    
  - Technologies & frameworks: scala, bash, redshift, spark, s3, redash, jenkins, mysql, prometheus, grafana, mongodb

Komoona

Big Data Lead

I have successfully accomplished:
  - Designing and building Fiverr’s data processing and storage architecture (from scratch).
  - Defining and building data flow automation (loading, processing, sanity, APIs).	
  - Tightly communicating with Fiverr’s Product Managers, BI team, as well as intensively cooperating with outsourcing companies (Data Visualisation and Finance).
  -  Writing Ruby and RoR code as part of Fiverr’s backend data platform.
  - Among other projects, I’ve written M/R jobs implemented in Java on top of Cascading; recommendation engine on top of Mahout; bash scripts for flow management, Scala for Spark Streaming POC and many more).
  - Technologies & frameworks: ruby, ruby on rails,  java, scala, hdfs, hadoop, impala, hue, hive, flume, cloudera solutions, mongo, redis, rabbitmq, mysql, cascading, etc...

Fiverr (Fiverr.com)

Senior Software Engineer @Innovation Labs

-Developing various aggregations for BI and ad serving, using Cascading over Hadoop. Plugging to several data storage as HBase, MySQL or just HDFS and local FS.   
-Researched and worked with Mahout (machine learning algorithms library written over hadoop) in order to understand and evaluate it’s efficiency for company’s needs.
-Setting-up hadoop & hbase production clusters worldwide.
-Evaluating and setting-up cluster monitoring. 
-Technologies & frameworks: hadoop, mahout, cascading, ganglia, tsdb, spring, sql

Amobee

Software Engineer - Big Data

-Developed distributed server-side web-application using spring framework and deployed on tomcats on ec2 cluster.
-Developed server-side modules utilizing cache (redis) and persistent distributed storage (hdfs). 
-Developed distributed business intelligence system for reports and insights for clients. Writing algorithms implemented in map/reduce on hadoop cluster.
-Was part of a team designing and building system architecture and deployment environment on amazon AWS 
-Technologies & frameworks: ec2, cloudfront, load balancers, route53.

Promodity

Software Developer

-Developed a linux-based desktop applications platform for handicapped and general senior population.
-Integrated the platform with VLC and Adobe Acrobat Reader.
-Integrated the platform with various drivers for Linux.
-Developed various application on top of the platform. 
-Developed swing based gui.
-Technologies & frameworks: swing, jni, osgi, synth, xul, bash scripting

e-sidor

-The company developed a perspective search engine for social networks, i.e. content search with results ranked by social relationship nature (adjacency in social graph, intensity of relationship, etc.) 
-I've researched in depth graph heuristic algorithms.
-Developed efficient heuristic algorithms that mapped large social graphs with high accuracy and in reasonable time.
-Implemented those algorithms in java map/reduce steps for highly distributed parallel processing of tens to hundreds terabytes of data.
-Set-up hadoop clusters from scratch.
-Developed various server side modules.
-Technologies & frameworks: hadoop, hdfs, map/reduce, sql, tomcat

Sightix

-The company was developing a multipurpose communication solution (similar to Skype).
-Functioned as the only java developer in a small start-up company.
-Dived into beta version of recently purchased proprietary server written in java.
-Fixed bugs and added features according to customers requirements.
-Integrated Alladin security solutions with the server.

Baruch Fuchsmann