Constantin Lungu, Developer in Bucharest, Romania
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Constantin Lungu

Verified Expert  in Engineering

Data Analytics, BI, and Database Developer

Bucharest, Romania

Toptal member since February 18, 2021

Bio

Constantin is a data analytics professional with a track record across eCommerce, digital, and finance. He helps teams understand their data and extract valuable insights from it. Constantin is an AWS Certified Developer, an AWS Certified Cloud Practitioner, and has a strong background in cybernetics and statistics. He has built analytics applications, data pipelines, BI and DW projects, and delivered end-to-end data products, including the extraction, transformation, and presentation of data.

Portfolio

Freelance
Google Cloud Platform (GCP), Apache Airflow, Google BigQuery, GitLab...
Electronic Arts
SQL Server 2016, C#, SQL Server Integration Services (SSIS)...
ING Group
Business Intelligence (BI), SQL Server Analysis Services (SSAS)...

Experience

  • Business Intelligence (BI) - 6 years
  • SQL Server Analysis Services (SSAS) - 5 years
  • Python - 5 years
  • SQL Server Integration Services (SSIS) - 5 years
  • SQL Server 2016 - 5 years
  • SQL Server Reporting Services (SSRS) - 4 years
  • Google BigQuery - 3 years
  • Apache Airflow - 2 years

Availability

Full-time

Preferred Environment

Linux, PyCharm, Visual Studio Code (VS Code)

The most amazing...

...project I've worked on is an environment that integrated 30+ data sources into an analytics product catering to hundreds of specialized individuals.

Work Experience

Data Engineer

2020 - PRESENT
Freelance
  • Created, maintained, and troubleshot data infrastructure on Google Cloud Platform using languages and frameworks such as Python, Scala (Spark), SQL, Dataform, and DevOps tools such as GitLab CI, Github Actions, and Terraform.
  • Maintained and extended data warehouse functionality.
  • Delivered reporting suites and operational reporting and notifications used in key business areas.
  • Gathered functional and technical requirements to incorporate into the product backlog.
Technologies: Google Cloud Platform (GCP), Apache Airflow, Google BigQuery, GitLab, GitLab CI/CD, Python, Terraform, SQL, Data Warehouse Design, APIs, RESTful Microservices, ETL, Data Visualization, Databases, Modeling, Data Engineering, Data Modeling, BigQuery, Data Build Tool (dbt), Data Lakes, Looker Studio

Software Engineer

2018 - 2020
Electronic Arts
  • Built, extended, and maintained data pipelines using C#, SQL Server, and SSIS using an in-house ETL framework.
  • Built analytics applications using the Microsoft BI stack (SSRS, SSIS, SSAS) and Power BI catering to a large audience of data analysts, project managers, and QA specialists.
  • Extracted, transformed, and loaded data from several dozen sources on different relational platforms.
Technologies: SQL Server 2016, C#, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), Microsoft Power BI, Octopus Deploy, TeamCity, SQL, PostgreSQL, Data Warehouse Design, APIs, RESTful Microservices, ETL, Data Visualization, Databases, Modeling, Data Engineering, Data Modeling

BI Development Engineer

2017 - 2018
ING Group
  • Delivered end-to-end data products, including extraction, transformation, loading, and presentation of data.
  • Developed, extended, and maintained the BI reporting suite.
  • Developed functionality for the data warehouse environment.
Technologies: Business Intelligence (BI), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), SQL Server 2014, SQL, Data Warehouse Design, ETL, Data Visualization, Databases, Modeling, Data Engineering, Data Modeling

BI Developer

2016 - 2017
The Hut.com
  • Integrated data using various tools such as Python, C#, R, AWS (Amazon Redshift and S3), and GCP (BigQuery).
  • Developed and maintained BI reporting used by marketing, sales, fulfillment, and other functions.
  • Built self-service web applications using ASP.NET.
Technologies: Business Intelligence (BI), SQL Server 2014, SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), Microsoft Power BI, Tableau, Redshift, Google BigQuery, SQL, Data Warehouse Design, APIs, RESTful Microservices, ETL, Data Visualization, Databases, Modeling, Python, Data Engineering, Data Modeling, BigQuery

BI Developer

2015 - 2016
Senior Software Agency SRL
  • Developed BI and corporate performance management applications using SQL Server, SSRS, and Board.
  • Extracted, transformed, and loaded data from client systems (operational systems and databases).
  • Collaborated with clients at project meetings and collected requirements.
Technologies: SQL Server 2014, SQL Server Reporting Services (SSRS), Boards, Tableau, SQL, Data Warehouse Design, Data Visualization, Databases, Modeling, ETL

Experience

Exploring Twitter Data Using Python

https://medium.com/@cnstlungu
An exploration into the vast body of Twitter data, using Python, Pandas, and Natural Language Processing. The aim was to illustrate the entire process of extracting raw data from social networks, processing it, and extracting tokens of knowledge that could be used for a particular purpose. This was documented in a series of three posts at the provided link.

Education

2014 - 2016

Master's Degree in Cybernetics, Statistics and IT Applied in Economics

ASE Bucharest - Bucharest, Romania

2011 - 2014

Bachelor's Degree in Finance, Insurance, Banking and Stock Exchange

ASE Bucharest - Bucharest, Romania

2012 - 2013

Erasmus Exchange Program in Economics

Université d'Orléans - Orleans, France

Certifications

JULY 2023 - JULY 2026

AWS Certified Data Analytics - Specialty

Amazon Web Services

JUNE 2022 - JUNE 2024

Google Cloud Certified Professional Data Engineer

Google Cloud

MAY 2020 - MAY 2023

AWS Certified Developer - Associate

Amazon Web Services

OCTOBER 2019 - MAY 2023

AWS Certified Cloud Practitioner

Amazon Web Services

Skills

Libraries/APIs

Pandas

Tools

BigQuery, Apache Airflow, Microsoft Power BI, TeamCity, GitLab, GitLab CI/CD, Tableau, PyCharm, Terraform

Languages

SQL, Python, C#

Paradigms

Business Intelligence (BI), ETL

Storage

SQL Server 2016, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), PostgreSQL, Databases, Data Lakes, SQL Server Reporting Services (SSRS), SQL Server 2014, Redshift, Google Cloud

Platforms

Google Cloud Platform (GCP), Linux, Visual Studio Code (VS Code), Amazon Web Services (AWS)

Other

Data Engineering, Google BigQuery, Data Warehouse Design, APIs, RESTful Microservices, Data Visualization, Modeling, Data Modeling, Data Build Tool (dbt), Looker Studio, Octopus Deploy, Quantitative Analysis, Data Analysis, Boards, Natural Language Processing (NLP), Analytics, Generative Pre-trained Transformers (GPT)

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