Marco Amador

Software Engineer at ANOVA

Almada, Setúbal, Portugal
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Summary

👤
Senior
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Top School
Marco Amador is a software engineer with 10 years' experience specializing in cloud-native, data-intensive distributed systems and DevOps-driven delivery. As a tech lead and data/software engineer based in Almada, Portugal, he combines hands-on backend development with SRE and GitOps practices to build scalable, reliable pipelines on Kubernetes. He contributes to open-source stream-processing tooling—most notably adding Azure Blob/Table integrations and JSON schema enhancements to Redpanda Connect—bringing practical production experience in streaming data validation and transformation. Comfortable across Data Engineering, Data Science, and ML workflows, he focuses on making complex distributed systems operationally mundane while mentoring teams to adopt observability and automation.
code10 years of coding experience
bookLicentiate degree, Computer Science Engineering, Licentiate degree, Computer Science Engineering at Instituto Superior de Engenharia do Porto
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Instituto Superior de Tecnologias Avançadas do Porto
languagesPortuguese, Spanish, French, English
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Stackoverflow

Stats
29reputation
458reached
1answer
1question
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Github Skills (11)

golang10
azure-blob-storage10
go10
json-schema10
azure-table-storage10
data-engineering9
stream-processing9
amazon-eks6
cni6
kubernetes6
prometheus6

Programming languages (8)

SmartyJavaShellGoMustacheGo TemplateJupyter NotebookKotlin

Github contributions (5)

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redpanda-data/connect

Jul 2020 - Nov 2022

Fancy stream processing made operationally mundane
Role in this project:
userBack-end Developer
Contributions:26 reviews, 28 commits, 59 PRs in 2 years 4 months
Contributions summary:Marco primarily focused on implementing features related to data processing and validation within the Redpanda Connect project. Their contributions include modifying JSON schema validation errors, implementing Azure Blob Storage output, and adding functionality for Azure Table Storage integration. They also introduced a bloblang method for parsing timestamps and added support for connection strings in the Azure Blob Storage output.
stream-processingmessage-queuestreaming-datamessage-buslogs
mfamador/benthos

Jul 2020 - Nov 2022

A stream processor for mundane tasks written in Go
Contributions:63 pushes, 12 branches, 70 tags in 2 years 4 months
golangstream-processorstreamsgostream
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