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I will build python etl pipelines as your fintech data engineer
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Sobre este Serviço
Slow queries and fragile data pipelines cost fintech businesses real money.
I am a data engineer specializing in the fintech domain. I build secure, scalable Python ETL pipelines and optimize SQL databases from legacy Oracle and Teradata warehouses to modern PostgreSQL and ClickHouse stacks.
What I deliver:
Python ETL/ELT pipelines with Prefect orchestration (retries, alerts, scheduling)
SQL query optimization and strategic indexing for slow databases
Database design: normalized schemas, data warehouse modeling
Migrations: Oracle/Teradata to PostgreSQL/ClickHouse
Data quality checks and clean, documented code
Databases: PostgreSQL, MySQL, Oracle, Teradata, ClickHouse
Also: API/CSV/JSON ingestion and dashboard-ready tables.
Why me:
Fintech domain expertise: transaction data, audit trails, data integrity
Production-ready code, not throwaway scripts
Clear communication and full documentation
Perfect for startups, fintech teams, and businesses that need reliable data automation.
Please message me before ordering so we can discuss your architecture and I can give you the right quote.
Let's turn your data into your biggest asset.
Ferramentas e plataformas:
Talend
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Meu portfólio
Perguntas frequentes
Do you sign NDAs?
Absolutely. Fintech data is sensitive — I'm happy to sign an NDA before we discuss anything.
Can you migrate Oracle or Teradata to PostgreSQL/ClickHouse?
Yes. I handle schema conversion, data migration, and query rewriting for legacy-to-modern warehouse migrations.
Why Prefect instead of other orchestrators?
Prefect is modern, Python-native orchestration with clean retries, alerting, and monitoring — lighter and more maintainable than legacy tools.
Can you fix my slow queries without rebuilding anything?
Yes — the Basic package covers SQL optimization and indexing on your existing database. No rebuild needed.
Do you provide documentation?
Every package includes setup notes. Standard and Premium include full technical documentation and data flow details.
