Andriy L. — Data Science / Java Software Engineer

Vetted expert in Back-End Web.

Last verified on July, 2023

Senior

B1 English

Core Skills

Hadoop ecosystem

Bio Summary

• 10+ year experience with JAVA and Linux operating systems: Java 11, Spring Boot, Spring Data JPA, MySQL/MongoDB, ElasticSearch, Jenkins CI
• Big Data, Data Engineering, NLP, Corpus Linguistics, ML, DL
• Design and implement a distributed warehouse system (AWS migration), REST API design and cache implementation (1,000-10,000 requests/sec), Design and implement high-load microservices
• Deliver special courses devoted to concurrency and prepared handbook on “Parallel and Distributed Computations” [technologies: (basics of OpenMP, MPI, CUDA, OpenCL), advanced in Java concurrency];
• Scientific projects at university related research increasing effectiveness of crypto-analysis
• Upper-Intermediate English
• Available Full-time
• Ready to start in 2 weeks
• No scheduled vacations within next 3months

Technical Skills

Programming Languages	Java, OpenCL, OpenMP, Python, Scala
Java Frameworks	Apache Spark, Spring, Spring Boot, Vaadin
Scala Frameworks	Apache Spark
AI & Machine Learning	Apache Spark ML, Deep Learning, Machine Learning, Natural Language Processing, PyTorch
Java Libraries and Tools	FindBugs, Hibernate/JPA, JavaFX, Spring Data, Spring Integration, Spring JDBC, Spring model-view-controller (MVC) framework, Swing
Python Libraries and Tools	NLTK, PyTorch
Data Analysis and Visualization Technologies	Apache Hive, Apache Oozie, Apache Spark, Apache Spark ML, AWS Athena
Databases & Management Systems / ORM	Apache Hive, Apache Spark, Apache Spark ML, AWS ElasticSearch, Cassandra, Hadoop ecosystem, HDFS, HDP, Hibernate/JPA, MariaDB, MongoDB, MySQL, PostgreSQL
Cloud Platforms, Services & Computing	AWS, GCP
Amazon Web Services	AWS API Gateway, AWS Athena, AWS Cloudformation, AWS EC2, AWS ElasticSearch, AWS EMR, AWS Lambda, AWS RDS (Amazon Relational Database Service), AWS S3, AWS SNS, AWS SQS
Methodologies, Paradigms and Patterns	Agile, Scrum, TDD, Waterfall
Deployment, CI/CD & Administration	Ansible, Bamboo, Gradle, Jenkins, OpenVPN
QA, Test Automation, Security	Apache Maven, JMeter, JUnit, Mockito
Message/Queue/Task Brokers	Apache Oozie, Kafka
SDK / API and Integrations	AWS API Gateway
Mail / Network Protocols / Data transfer	BIND, Kerberos, LDAP, MPI, OpenVPN
Platforms	Camunda, CUDA, Raspberry PI
Third Party Tools / IDEs / SDK / Services	Eclipse, IntelliJ IDEA
Virtualization, Containers and Orchestration	Kubernetes, OpenVPN, Terraform, virtualization
Web/App Servers, Middleware	Nginx
Other Technical Skills	FairSeq, Grid Computing, JMH, KeyCloack, Network technologies, PMD, Ranger, Spark MLLib, Spark Standalone cluster, Stanford Core NLP

Experience

SENIOR JAVA DEVELOPER, CLOUD ENGINEER

2018 – CURRENT

Responsibilities: Data analytics platform upgrade (2020-). Design and implement a distributed warehouse system (AWS migration) REST API design and cache implementation (1,000-10,000 requests/sec.) Design and implement high-load microservices.

Technologies/Environment: AWS (lambda, API Gateway, RDS, SNS, SQS, EC2, S3), CI/CD (Bamboo, Jenkins), Infrastructure as a Code (Cloudformation, Terraform), Java 11, Spring Boot, Spring Data.

DATA SCIENTIST, BIGDATA ENGINEER, JAVA DEVELOPER, OWN SCIENTIFIC PROJECT

2018– CURRENT

Responsibilities: Data Scientist (NLP, Corpus Linguistics, ML, DL), Big Data, Java Developer, Architect, own scientiﬁc research.

Technologies/Environment: HDP 3.1 (Spark 2.3), Spark Standalone cluster; Java 8 (11), Spring, Vaadin, Spring Boot, Spring Data JPA, Spring JDBC; Spark MLLib, Stanford Core NLP, Language Tool. Python, PyTorch, FairSeq, NLTK Docker.

BIG DATA ENGINEER

2018 – 2019

Responsibilities: Data Management Platform in a hybrid cloud (2018-2019).Architect infrastructure orchestration in hybrid cloud. Data Lake infrastructure design. Design batch and event-driven workﬂows for big data processing.

Technologies/Environment: Google cloud Data and Storage services, AWS, Hortonworks HDP 3.1 (Hive, Spark, Kafka, Kerberos, LDAP(FreeIPA), Ranger), Oozie, Kafka, Apache Spark, Hive, Kubernetes, Linux, OpenStack, Ansible, Terraform, Cloudformation, GitLab CI, Scala, Akka, Python, PostgreSQL, Cassandra, KeyCloack, LDAP, Kerberos, Google Cloud Platform, AWS (S3, EMR, Athena), Java 8.

JAVA INSTRUCTOR

2016 – 2019

Responsibilities: Oﬀ-line courses. Delivering professional courses and tutoring Junior Software Developers.

Technologies/Environment:Java 8, Java 11, MySQL, PostgreSQL, maven/gradle, junit, Spring, mockito, JavaFX.

SOFTWARE DEVELOPER

2017 – 2018

Responsibilities: Java Middle Developer.

Technologies/Environment:Java 8, Spring MVC, MS Exchange, LDAP (Active Directory), BPS Camunda, PostgreSQL

SOFTWARE ENGINEER, DEVOPS

2015 – 2016

Responsibilities: Java Software Development: Java (support and bugﬁxing Okapi framework) Network administration.

Technologies/Environment:Java, bind, nginx, mysql, openvpn, virtualization, AWS EC2, Jenkins.

COMPUTER SCIENTIST

2004 – 2016

Responsibilities: Investigator in charge in scientiﬁc research projects. Investigations in biometry authentication and high performance computing.

Results: 68 scientiﬁc papers (22 sc.articles), 7 copyright certiﬁcates, handbook «Parallel and distributed computing» (ukrainian language).

Technologies/Environment:Java, C programming (CUDA, OpenCL, MPI, OpenMP), Grid Computing.

ASSOCIATE PROFESSOR

2011 – CURRENT

Responsibilities: Delivered and developed courses: Java programming, Parallel and Distributed Computing, System Software, Information Security, Systems of Parallel and Distributed Data Processing Supervising master and diploma thesis. Scientiﬁc research. Vice head of department (2015).

SENIOR LECTURER (ASSISTANT PROFESSOR)

05/11/2006 – 2011

DEVOPS

2002 – 2005

Responsibilities: Network and System Linux Administrator of SMB oﬃces.

Technologies/Environment:Linux, Networking.

Education

10/10/2020 – 10/03/2021 Ternopil, Ukraine DATA SCIENCE COURSES – Private oﬄine courses

Machine Learning and Deep Learning topics:

PREPROCESSING DATA
DECISION TREES
LINEAR REGRESSION
LINEAR CLASSIFICATION
NEAREST NEIGHBORS ALGORITHM
MULTILAYER PERCEPTRON
SUPPORT VECTOR MACHINE (SVM)
BAYES CLASSIFIER
ENSEMBLE ALGORITHMS
MATRIX DECOMPOSITION. DIMENSION REDUCTION OF DATA SPACE (practically implemented in own scientiﬁc project)
CLUSTER ANALYSIS AND VISUALIZATION
CNN
OBJECTS DETECTION AND SEGMENTATION
RNN (practically implemented in own scientiﬁc project)
NLP (practically implemented in own scientiﬁc project)
PROBABILISTIC TOPIC MODELING
COLLABORATIVE FILTERING
TIME SERIES ANALYSIS AND FORECAST
ANOMALY DETECTION
AUTOENCODERS (Sequence to sequence Transformer model used in own scientiﬁc project)

Field(s) of study Information and Communication Technologies : Inter-disciplinary programmes and qualiﬁcations involving Information and Communication Technologies (ICTs) Passed

09/09/2020 – 09/09/2023 CERTIFIED REACTIVE ARCHITECT EXAM V4 – Lightbend

Field(s) of study Information and Communication Technologies : Software and applications development and analysis Database and network design and administration Information and Communication Technologies (ICTs) not further deﬁned lightbend.mettl.com/verity-certiﬁcation/

18/09/2018 HADOOP. A SYSTEM FOR PROCESSING LARGE AMOUNTS OF DATA)
21/12/2016 DATA ANALYSIS AND STATISTICAL INFERENCE IN R – Prometheus
17/09/2016 DEVELOPING A WEB SERVICE IN JAVA (PART 2) – Stepik.org
17/08/2016 DEVELOPING A WEB SERVICE IN JAVA (PART 1) – Stepic.org
28/09/2015 M202: MONGODB ADVANCED DEPLOYMENT AND OPERATIONS – MongoDB, Inc.

M102: MONGODB FOR DBAS – MongoDB, Inc.

06/05/2015 M101J: MONGODB FOR JAVA DEVELOPERS – MongoDB, Inc.
2006 – 2011 – Ukraine PHD
2003 – 2008 – Ternopil, Ukraine PH.D. IN COMPUTER SCIENCE (MATHEMATICAL MODELING AND COMPUTATIONAL METHODS) – Ternopil State Ivan Pul'uj Technical University
1998 – 2003 – Ternopil, Ukraine SPECIALIST (MASTER'S) DEGREE IN SYSTEM ENGINEERING (COMPUTER SCIENCE) – Ternopil State Ivan Pul'uj Technical University

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