Igor Bucec Email and Phone Number

AWS:- Creating the whole solution architecture based on AWS. This architecture needs to provide high scalable, resilient, high available and cost effective solution. We also have to provide a cross-region support, to have everything automatically replicated in every region for lower latency and the best user experience- Working with AWS I met a lot of different services like: VPC, S3, CloudFormation, ECS, Lambda, , API Gateway Batch, Glue, CloudFront, RDS Aurora etc.Kafka:- Set up Kafka cluster with 3 Zookeeper and 3 Kafka brokers- Set up SSL Authentication and Encryption for Kafka- Install and setup Landoop Kafka Topics UI, Schema registry, REST Proxy, ZooNavigator, Linkedin Kafka Monitor, Yahoo Kafka Manager- Set up Kafka Connect cluster- Set up Kafka monitoring using Prometheus with Grafana- Set up alerting system with Nagios- Manage and monitor whole Kafka clusterC# and Container technology:- Business logic is developed in dotnet core based on microservice architecture and everything is primarily deployed as Docker containers on the cluster (ECS). For the processing we use native AWS services.- I have experience with container technologies with Docker and I can setup full scalable solution with docker container in the cluster. For now we're using ECS (Elastic Container Services) for docker orchestration. CI/CD:- I'm also responsible for all CI/CD pipelines on the project. So for that I decided to use Jenkins with one master in failover mode and with dynamic agents. For source control we're using bitbucketDB migrations:- We're using liquibase for MySQL database migrationsTesting:- We're in phase when we need to setup automatic testing. So, for unit testing we're using xunit and for code coverage currently we use Coverlet. For the integration tests we also use xunit and for functional and end-to-end testing we'll use BlazeMeter and/or SmartBear.- We're building tests in docker container inside the CI/CD pipeline

Big Data:- I defined the big data platform architecture. This platform was used for the real-time data streaming and processing, for the batch processing and also as a data lake.- I also made the specification for the big data platform application written in Java Spring Boot - this application provided us everything we needed to easier manipulate with our services and data. (eg. on that platform we had an insight in the stream data in real-time, we could create new topics in Kafka, edit their properties, etc.)- Setup Big Data infrastructure based on Hortonworks platform (HDF)- Used Apache Kafka as the main messaging queue and also Confluent Kafka Connect because of many source and sink Kafka connectors (eg. Used JDBC Kafka connect to pull transaction data from MySQL as real-time streaming messages finally produced to Kafka)- Setup distributed database Cassandra where we were using them for anti-fraud system.- Used Kafka Streams and Spark Streaming for stream processing - Used Spark for batch processing- Setup monitor using Prometheus with Grafana and altering system using NagiosMicrosoft:- Creating the whole BI solution for Mobile Advertising System and Affiliate management projects- I created the whole solution- Designing and modelling DWH in Microsoft SQL Server Enterprise 2014/2016. Writing SQL queries and PL/SQL scripts on advanced level- Dynamic partitioning SQL Server tables across many disks.- Developing ETL processes with Microsoft SSIS- Designing OLAP cubes with Microsoft SSAS. Writing MDX queries on advanced level- Developing Rest-API application in ASP.NET for retrieving data from BI system.- Creating reports using Microsoft SSRS- I was responsible to setup SQL Server. We had two powerful servers . SQL Server was set in the fail-over mode with the Always-On Availability Group. In our DC we also had a dedicated Storage in which we created hybrid partitions (SSD-HDD) which are finally attached to every of Microsoft Windows Servers.

Pentaho and MySQL:- Creating the whole BI solution for CRM and MAS (Mobile Advertising System) projects- Designing and modeling DWH in MySQL- Developing ETL processes with Pentaho Data Integration- Designing OLAP cubes with Pentaho Mondrian OLAP Server- Creating interactive dashboards using Pentaho CTools and static reports using Pentaho Report Designer

Oracle BI 11g (OBIEE):- Creating an interactive dashboards where queries are defining with Oracle BI Answers- Creating Business Intelligence templates for automatic generated reports on time basis using Oracle BI Publisher- Designing, creating and building the OLAP Cubes- Worked on Ministry of Health project called eHealth