Download PDF

Summary

Innovative IT novice offering his full knowledge and experience to deliver highly effective and creative solutions to technology challenges. Big data enthusiast whose hunger for dealing with constant challenges is infinite.

Projects 

building and maintaining highly available and scalable big data platform

NTH mobile
20162018

Implementing scalable architecture for parallel processing of massive data sets

July 2018Present

Master thesis about building/implementing Lambda architecture and how it can help in some business cases, save products and make  engineers life easier.

In thesis you can find whole architecture built from scratch and business case where this kind of architecture saved the same from collapsing.

Distributed Databases

Dec 2015Present

Final work about distributed databases in Apache Cassandra. 

Education 

mag. inf., Database and Base Knowledge

Faculty of organization and informatics, University of Zagreb
Sep 2016Sep 2018

Master's degree

bacc. inf., Information Systems 

Faculty of organization and informatics, University of Zagreb
Sep 2013Sep 2016

Bachelor's degree

Skills

Azure
Nagios

Managing alarms and writing plugins

Confluent Kafka

Cluster managing  

Linux

CentOS7

Apache Cassandra

Data modeling, cluster 6 node modeling

Hortonworks Data Platform

Setting up Hadoop, YARN, MR2, Hbase, Hive, Spark2, Zookeeper cluster

Kubernetes
Spark

With Scala

programming languages

C#
BASH
Scala
SWIFT

Experience

DAta platform engineer

avl
october 2018now

Azure:

  • Writing Logic apps
  • Managing Data Factory and creating workflows in it
  • Managing permission in inter communication between services like DataFactory - DataLake, Integration Runtime between DataFactory and on-premise K8 (Kafka)

Experimenting with AKS engine and configuring hybrid Linux & Windows K8 cluster. 

Administrating Kubernetes with Confluent Platform environment on it.

Big Data Infrastructure Architect

NTH Mobile
November 2016Now

Setting up platform which handles fault-tolerance, availability, Real-Time and Near Real-Time data processing. 

Intention was on implementing Lambda Architecture where for batch layer was used HDP and stream/serving layer  outsourced Confluent Platform, KStreams and Cassandra. Kafka-Connect was heavily there. 

I was tuning and administrating whole stack and my main job was to take care on infrastructure as on my own kids where Nagios helped big time. 

The most experience is in Kafka and Cassandra as most projects were based just on streaming layer and most issues came from that side.

Technology stack: 

Cassandra, HortonworksPlatform (Hadoop, YARN, Spark2, Zookeeper, Hive), Confluent Kafka, Docker,  Nagios, Scala/Java, Bash.

Database Specialist Intern

Farmeron
July 2016Sept 2016

Tested throughput and latency of Apache Cassandra on Multi-node Cluster using Apache Spark as engine for big data processing. Also trying to compare the same results with Microsoft SQL Server performance.

Also was testing performance of Hadoop multi-node cluster configuration with Apache Drill and Zookeeper along with.

Certifications

M102: MongoDB for DBAs

Mongodb university
July2016

COMPLETED AS THE TOP 10% OF ALL STUDENTS

Microsoft Technology Associate: Database Administration Fundamentals

Microsoft, License 90045188
Dec 2015

Contributor

Stream Reactor 0.2.4-3.1.1v

https://github.com/datamountaineer/stream-reactor
Nov2017

      Created kafka-connect-hbase-sink for Hortonworks Data Platform            v2.6 which has HBase v1.1.2 (by then, was available sinker for HBase        v1.2)