I am currently seeking new opportunities to leverage my expertise in Big Data and Cloud technologies to drive innovation and growth in dynamic organizations.
Rodrigo Wurdig
@rwurdig
Data Engineer based in Brazil. With knowledge in Spark, Azure, AWS, GCP, Snowflake, Python, more.
BrazilWhat I'm looking for
Hi, my name Rodrigo Wurdig and I am a highly skilled Data Engineer with a background in Civil Engineering, and ongoing studies in Data Architecture and Big Data Engineering. I am currently seeking new opportunities to leverage my expertise in Big Data and Google Cloud technologies to drive innovation and growth in dynamic organizations.
With experience at Semantix AI and Randon Companies, I have honed my skills in data processing, ETL, and pipeline orchestration, while working with cutting-edge technologies like Python, Spark, and Google Cloud.
What sets me apart is my unique blend of engineering knowledge, technical skills, and a passion for self-learning, which allows me to quickly adapt to new technologies and stay ahead of the curve in the rapidly evolving data landscape.
As a multilingual professional, I am comfortable working in diverse environments and collaborating with global teams. My experience in the United States has enriched my communication skills and provided me with a broader perspective on problem-solving.
My Unique Selling Proposition lies in my multidisciplinary education and certifications, ranging from Data Architecture to Quantum Computing, which enables me to approach challenges with a comprehensive understanding and provide innovative solutions.
In conclusion, I am a versatile and agile Data Engineer who thrives in fast-paced environments, embracing new challenges and consistently delivering exceptional results. If you're looking for a dedicated and innovative professional to join your team, I am confident that I can make a significant impact and contribute to the success of your organization.
Experience
Senior Technical Lead
HCLTech
Jun 2023 - Present (11 months)
● Design, build, and maintain ELT data pipelines/DAGs using Airflow, Snowflake, and DBT.
● Collaborate with other members of the data team to ensure that our data is accurate, timely, and available to stakeholders.
● Write and maintain efficient SQL and Jinja code to transform and manipulate data using DBT.
● Develop and maintain data models that support business requirements.
Data Engineer / Analyst - Internship
DevTown
Feb 2021 - Aug 2021 (6 months)
● Treated, manipulated, and prepared complex data for analysis and created visualizations in Power BI for data exploration and storytelling, enhancing data comprehension and decision-making for the marketing analytics project of an educational institution.
Data Engineer
Semantix AI
Oct 2021 - Jun 2023 (1 year 8 months)
● Created and implemented the ML project using Python, TensorFlow, Pandas, and SQL on the Google
Cloud Platform to improve predictive accuracy for the Phoenix team of the Brain project conducting
Score analysis for legal entities of a Brazilian Bank.
● Streamlined data preparation in Azure, AWS EMR, and GCP using Databricks, enhancing the efficiency and accuracy of the analytics team's data-driven
Data Engineer
Randon Companies
Jul 2018 - Jan 2021 (2 years 6 months)
-Structured relational and non-relational databases using Microsoft SQL Server and Apache HBase, developed new features and maintained an application using Python and Spark. This work enhanced application performance for the product development team.
-Supported data preparation in an Azure and GCP environment using Databricks, improving data quality and accessibility for the data engineering team.
Tech stack
Learn about the tools and technologies that Rodrigo likes to use.
Snowflake
Azure Synapse
Apache Spark
AWS Glue
Apache Hive
AWS IAM
Amazon EC2
Google Cloud Platform
Amazon S3
Google Cloud Storage
GitHub
GitLab
Bitbucket
Amazon CloudFront
PySpark
dbt
MySQL
PostgreSQL
MongoDB
Microsoft SQL Server
Hadoop
HBase
Databricks
Azure Stack
Jira
Python
Kafka
Google Cloud Bigtable
Linux
Azure Database for PostgreSQL
Google Workspace
Confluence
Google Cloud Dataflow
Google Cloud Pub/Sub
AWS Lambda
AWS Batch
Google Cloud SQL
Git
Docker
Airflow
Amazon Web Services (AWS)
SQL
Google Cloud Dataproc
Availability
Location
Authorized to work in
Portfolio
github.com/rwurdigSalary expectations
Social media
Job categories
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