I am a data engineer with over 20 years focusing on Business Intelligence and Big Data projects. I'm passionate about turning complex data into clear insights that help companies make better decisions.
I've developed expertise in programming languages including Python, Go, and Java, along with advanced SQL skills across Postgres, DuckDB, SQL Server, and BigQuery platforms. I specialize in designing and managing scalable data solutions using Hadoop, Spark, and Airflow, and I'm proficient with AWS and GCP cloud environments. My track record includes building efficient data pipelines, creating optimized data models, and enhancing performance for complex workflows.
I'm particularly excited about the Data Orchestration Engineer role because it offers the chance to design efficient data models and work with modern tools like Airflow. My experience with cloud-based data solutions, ETL processes, and warehouse architectures makes me an ideal fit for this position. Additionally, my expertise with Docker containers and AWS DevOps strengthens my ability to contribute to your technical stack.
I am very excited to contribute to your team by optimizing pipeline efficiency, enhancing insights generation, and collaborating to create impactful data products. I thrive in collaborative environments and am committed to continuously learning and growing alongside talented professionals.
In summary, I bring a blend of technical expertise, problem-solving skills, and a passion for driving meaningful data-driven outcomes. Iโm thrilled at the possibility of contributing to your team and making a positive impact. Thank you for considering my application, and I look forward to discussing how my experience aligns with your goals!
๐ Nationality | ๐ง๐ท Brazil |
๐ก Residency | ๐ง๐ท Brazil |
๐ Location | ๐ง๐ท Brazil |
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rok.co/@laercioserra |
๐ Website | lserra.github.io/ |
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lserra |
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l_serra |
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https://www.linkedin.com/in/laerciosserra/ |
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laercioserra |
Skilled in | business intelligence big data machine learning python go java sql postgres duckdb sql server oracle bigquery hadoop spark airflow aws gcp docker |
Fluent in | englishportuguesespanish |
Preferred timezone | -3 |
Preferred annual pay (min) | $48,000/year |
Preferred hourly pay (min) | $25/hour |
Last seen | 1 day ago |
Signed up | 2 months ago |
Badges |
๐จโ๐ป Remote worker ๐ Early adopter |
2024 - Now: Sr Data Engineer @ GFT Technologies