ETL Developer for n8n, PostgreSQL, and Email Verification -- 2

@azwa04

Hi, I can easily DO your work IN 24 HOURS, DM me now to get started, PRICE NEGOTIABLE 100% Work satisfaction is provided!

@sanket99799

With 5 years of automation and database integration experience, I specialize in building large-scale n8n workflows designed for performance, reliability, and data integrity. Your requirements for Google Drive scraping, PostgreSQL ETL, and email verification pipelines align closely with solutions I’ve successfully delivered for data-heavy projects. Scope of Work: Google Drive Scraping: Connect to multiple accounts/folders, ingest large CSV/Excel files (5GB+), and support parallel processing for efficiency. ETL to PostgreSQL: Bulk load raw data into PostgreSQL with schema design, indexing, deduplication, and retry/error logging mechanisms for robust performance. Email Verification Pipeline: Extract emails from datasets, integrate verification APIs (ZeroBounce, NeverBounce, Reoon), and store only validated data into a separate schema/table. Automation & Monitoring: Configure scheduled or trigger-based runs, implement retry logic, detailed logging, and monitoring for reliability. Deliverables: Complete n8n workflow, fully configured PostgreSQL connections, documentation for setup/maintenance, and optimized processes for long-term scalability. I bring strong expertise in n8n automation, PostgreSQL optimization, and API integration, ensuring this ETL pipeline is both powerful and resilient with large datasets. Best Regards, Sanket.

@AdityaNandwana19

Hi, I can build your n8n automation workflow to handle Google Drive data ingestion, PostgreSQL ETL, and email verification at scale. What I’ll deliver: Connect multiple Google Drive folders and scrape large CSV/Excel files (5GB+), supporting parallel processing. Load raw data into PostgreSQL with proper schema design, bulk inserts, and deduplication for performance. Add automated retries, error logging, and monitoring for reliability. Extract emails from datasets and verify them through your chosen API (Reoon, ZeroBounce, NeverBounce, etc.). Store verified emails in a separate PostgreSQL schema/table. Provide full setup documentation with scheduling and triggers in place. I’ve worked on ETL pipelines with large datasets, PostgreSQL optimization, and API integrations inside n8n. Ready to implement an end-to-end solution for you.

@rahugurjar11

Hello, I have extensive experience in ETL automation, workflow orchestration, and PostgreSQL optimization and can deliver a robust n8n-based solution for your project. I will design workflows that: Connect to multiple Google Drive folders via API and efficiently process large files (CSV/Excel, 5GB+), using parallel processing and memory optimization. Ingest raw data into PostgreSQL, ensuring performance, schema indexing, deduplication, and error handling. Build a bulk email verification pipeline integrating with APIs like ZeroBounce or NeverBounce, storing only validated emails in a separate schema. Include automated retries, logging, and monitoring for reliability. Deliverables will include a fully configured end-to-end n8n workflow, PostgreSQL integration, and documentation for setup and maintenance. My background in cloud ETL, automation frameworks, and large dataset handling ensures a scalable and production-ready solution. Let’s connect to discuss your specific workflows and start building. Best regards, Rahul Gurjar

@mutahrar

Hi, I can diseñar y desplegar un workflow robusto en n8n que automatice todo el ciclo de ETL con grandes volúmenes de datos: conectar múltiples carpetas de Google Drive (con acceso directo o enlaces compartidos), extraer y procesar ficheros CSV/Excel de hasta 5 GB+ con manejo de memoria optimizado y ejecución en paralelo, y cargar la data en PostgreSQL con esquema normalizado, índices, deduplicación y control de integridad. El flujo incluirá un pipeline de verificación masiva de correos electrónicos integrado con APIs de terceros (ZeroBounce, NeverBounce, Reoon, etc.), registrando únicamente los correos validados en otra base PostgreSQL (diferente esquema/tabla). Todo con reintentos automáticos, logging de errores, y triggers programados o on-demand. Entregables Workflow de n8n con scraping, ETL y verificación de emails. Conexiones PostgreSQL configuradas (schemas optimizados, bulk inserts). Integración estable con Google Drive API y un proveedor de email verification. Automatización programada con reintentos y monitoreo. Documentación clara (setup, mantenimiento, endpoints/snippets). Este MVP será modular, escalable y preparado para ajustes posteriores. Best Regards, Mutahra Rehman

@VivekPal798

Hello, I've reviewed your n8n ETL project requirements. I understand the main challenge is efficiently processing large 5GB+ files and performing high-performance bulk inserts into PostgreSQL. My plan is to build a robust n8n workflow using a streaming approach for the large files from Google Drive. I will use optimized bulk insert methods for PostgreSQL to ensure speed and data integrity. The pipeline will also seamlessly integrate your chosen email verification API to filter and store the clean data. My extensive experience in building complex data pipelines and managing large databases makes me confident I can deliver a reliable and scalable solution for you. I am ready to start and can deliver a complete, documented workflow. Let's discuss the details. Best regards, Vivek Pal

@rovans1

I am qualified data Engineer with overall 8 years of experience have worked for clients based from USA and Europe.

@DavidNMC

Hi! I can design and deliver a robust n8n automation workflow that covers the full ETL cycle: Google Drive Integration: connect to multiple folders or shared links, download CSV/Excel files (5GB+) with chunk/stream handling to avoid memory issues. PostgreSQL ETL: load raw data with bulk inserts, schema indexing, and duplicate prevention (ON CONFLICT rules). Email Verification: extract email addresses and verify them via API (ZeroBounce / NeverBounce / Reoon), then insert only clean results into a separate PostgreSQL schema. Reliability: automated retries, error logging, schedule/trigger-based execution. Documentation: concise README with setup, dependencies, and example run. ⚡ I’ll keep the workflow modular: you can easily add/remove steps, swap APIs, or extend it to other data sources. I’m available to start immediately and deliver within 4–7 days.

@Pscadena

Hello Im Software Engineer, i have experience with n8n and projects of automation i can give you a high end product with all your requirements just let me know