Branko is available for hire

Branko Fulurija

Verified Expert in Engineering

Data Engineer and Developer

Location

Višegrad, Republika Srpska, Bosnia and Herzegovina

Toptal Member Since

September 28, 2021

Branko是一名数据工程师，专门从事在云中构建大数据平台. 除了在云架构方面的丰富经验, data analytics, serverless solutions, and cost optimization, Branko拥有五项AWS和两项GCP认证，是一名屡获殊荣的竞争性程序员和黑客马拉松冠军.

Big Data Software Engineering Algorithms Serverless Data Engineering Data Analytics Data Warehousing Data Modeling Java Python SQL Databases Amazon Web Services (AWS)Google Cloud Platform (GCP)ETL Cloud Architecture Competitive Programming Cloud Cost Reduction

Portfolio

Microsoft

C++, C#, React, TypeScript, JavaScript, Algorithms

Educational Center Belgrade

算法，数据结构，竞争性编程，计算机科学

Microsoft

c#， c++，图形，算法，监控，大数据，大数据架构

Experience

Big Data - 6 years SQL - 5 years Python - 5 years Algorithms - 5 years Amazon Web Services (AWS) - 4 years ETL - 4 years Google Cloud Platform (GCP) - 4 years Apache Airflow - 3 years

Availability

Part-time

Preferred Environment

Amazon Web Services (AWS), Google Cloud Platform (GCP), Apache Airflow, Docker, Git, Terminal, Serverless, Agile, Infrastructure as Code (IaC), JetBrains

The most amazing...

...我开发了一个pb级的大数据分析平台.

Work Experience

Software Engineering Intern

2018 - 2019

Microsoft

建立了一个微软Office插件来帮助学生练习数学技能.
来自多个Microsoft Office产品的组合和集成服务.
协助将一个在全球拥有数千用户的特性发布到产品中.
使用c++、c#、TypeScript和React实现前端和后端.

技术:c++， c#， React, TypeScript, JavaScript，算法

Programming Tutor

2016 - 2018

Educational Center Belgrade

为高中生准备全国编程比赛.
Taught advanced computer science topics, such as dynamic programming, graph theory, and data structures.
协助学生在国际奥林匹克竞赛中获得编程奖牌.

技术:算法，数据结构，竞争性编程，计算机科学

Software Engineering Intern

2017 - 2017

Microsoft

创建了一个内部大数据工具，提供有关系统健康和性能的见解.
Enabled users to discover performance bottlenecks, quickly recover from failures, 并利用该工具通过可视化来了解系统状态.
使用了包含c#和专有大数据引擎的技术栈.

技术:c#， c++，图形，算法，监控，大数据，大数据架构

Experience

编码面试Jumpstart在线课程创建者Udemy

独立创建并发布了一门Udemy在线课程，已有23,000多名学生参加. 课程内容教授一些基本算法和计算机科学概念，并解释在顶级科技公司面试中被问到的基本算法背后的原理.

MTS Assistant | Hackathon Winner

一种基于云的分布式分析系统，使用和处理电信数据以创建交互式数据可视化. 该工具包括个性化的软件包推荐, 它使用聚类和一个工具来实时检测网络中的不规则性. The telecom data was stored in Elasticsearch, Kibana被用于数据可视化和机器学习工作，以检测异常情况.

US Accidents | Udacity Nanodegree Project

http://github.com/brfulu/us-accidents-data-engineering

这个项目是Udacity数据工程纳米学位项目的顶点项目. 其想法是创建一个优化的数据湖，使用户能够分析美国的事故数据并确定事故的根本原因. 其主要目标是构建一个能够处理大量数据的端到端数据管道. 我们想要清理、转换数据并将其加载到AWS S3上优化的数据湖中. 数据湖将由由某些列划分的逻辑表组成，以优化查询延迟.

红移数据建模| Udacity Nanodegree项目

http://github.com/brfulu/redshift-data-modeling

这个项目是Udacity数据工程纳米学位项目的一部分. 任务是构建一个从AWS S3提取数据的ETL管道, staged it in Redshift, 并将其转化为一组维度表，这些维度表可以用于消费分析，并使用户能够深入了解某些用户听的是哪些歌曲. 输出是Redshift中的关系星型模式.

Data Lake ETL with Spark | Udacity Nanodegree

http://github.com/brfulu/datalake-spark-etl

这个项目是Udacity数据工程纳米学位的一部分. 任务是从源系统获取数据，并将其从数据仓库移动到数据湖. The data resided in AWS S3, 用户在应用程序上活动的JSON日志目录, 以及一个目录，其中包含用户在虚拟应用程序中收听的歌曲的JSON元数据.

需求包括构建从AWS S3提取用户数据的ETL管道, processing it using Spark, 并将数据作为一组维度表加载回AWS S3. 这将使分析团队能够继续深入了解用户正在听的歌曲.

气流数据管道| Udacity Nanodegree项目

http://github.com/brfulu/airflow-data-pipeline

这个项目是Udacity数据工程纳米学位项目的一部分. 任务是实现一个自动的和受监视的ETL管道，用于将数据加载到数据仓库. The pipeline was implemented using Apache Airflow. 源数据驻留在AWS S3中，需要在Amazon Redshift中的目标数据仓库中进行处理. 源数据集由应用程序中用户活动的JSON日志和关于用户听的歌曲的JSON元数据组成.

Skills

Languages

Python, Java, SQL, C++, JavaScript, C#, TypeScript

Frameworks

Hadoop, Presto, Spark

Tools

Apache Airflow, Google Cloud Dataproc, IntelliJ IDEA, PyCharm, Terraform, Ansible, Google Compute Engine (GCE), Google Kubernetes Engine (GKE), BigQuery, AWS Glue, Amazon Elastic MapReduce (EMR), Amazon Athena, AWS Step Functions, Git, Terminal, JetBrains, TeamCity, Grafana, AWS CloudFormation, Google Cloud Composer, Apache Beam, Cloud Dataflow, Tableau, Looker, Jenkins, Amazon CloudWatch, Kibana, Amazon QuickSight

Paradigms

ETL, Object-oriented Programming (OOP), Testing, Microservices, Business Intelligence (BI), DevOps, Agile, Data Science

Platforms

Amazon Web Services (AWS), Google Cloud Platform (GCP), AWS Lambda, Apache Kafka, Amazon EC2, Jupyter Notebook, Docker, Kubernetes

Storage

Data Pipelines, Databases, Amazon S3 (AWS S3), Data Lakes, Google Cloud Storage, Apache Hive, Redshift, PostgreSQL, Google Cloud SQL, Amazon DynamoDB, Elasticsearch, Amazon Aurora, Google Bigtable, JSON

Other

Data Warehousing, Software Engineering, Algorithms, Data Structures, Cloud Computing, Serverless, Data Engineering, Data Analytics, Data Processing, Data Modeling, Dataproc, Big Data, Competitive Programming, ELT, Graphs, Networking, Identity & Access Management (IAM), Google BigQuery, EMR, Amazon RDS, Streaming, Internet of Things (IoT), GraphDB, Amazon Neptune, Google Data Studio, Infrastructure as Code (IaC), CI/CD Pipelines, AWS DevOps, Monitoring, Prometheus, Amazon API Gateway, Cloud Architecture, AWS Cloud Architecture, Big Data Architecture, Data Quality, API Gateways, Computer Science, Amazon Kinesis, Machine Learning, Recommendation Systems

Libraries/APIs

PySpark, React

Education

2016 - 2020

Bachelor's Degree in Computer Science

Faculty of Computing - Belgrade, Serbia

Certifications

JUNE 2021 - JUNE 2024

GCP Associate Cloud Engineer

GCP

OCTOBER 2020 - OCTOBER 2022

GCP Professional Data Engineer

GCP

DECEMBER 2019 - PRESENT

Data Engineering Nanodegree

Udacity

NOVEMBER 2019 - SEPTEMBER 2022

AWS Certified Big Data - Specialty

AWS

MARCH 2019 - MARCH 2022

AWS Certified SysOps Administrator - Associate

AWS

JANUARY 2019 - JANUARY 2022

AWS Certified Developer - Associate

AWS

SEPTEMBER 2018 - MARCH 2022

AWS Certified Cloud Practitioner

AWS

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