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Nederlands
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I will build multi agent ai systems to automate legacy sql to bigquery migrations
I’m Arpit, an IIT M.Tech graduate and GCP Certified Data Engineer specializing in architecting high-impact, scalable solutions. With 4+ years of expertise across data engineering, full-stack developme...
Over deze dienst
Migrating legacy databases shouldn't take months of manual rewriting.
If you are moving from on-premise systems to Google Cloud, translating complex PL/SQL into optimized BigQuery syntax is always the biggest bottleneck.
As a Google Cloud Certified Data Engineer, I leverage advanced AI to accelerate your migration. I build custom, autonomous multi-agent LLM systems that handle the heavy lifting translating code, mapping schemas, and identifying structural gaps with high precision.
What I Can Do For You:
- Automated Code Translation: Advanced LLMs translate complex legacy PL/SQL scripts into clean, performant BigQuery SQL.
- Smart Schema Mapping: Specialized AI agents map your legacy database schemas to target curated layer standards.
- Semantic Gap Analysis: Automated analysis between existing dimension tables and target fact-table requirements.
- End-to-End Orchestration: Seamless workflow integration using Cloud Composer (Apache Airflow).
Tech Stack: GCP, BigQuery, Vertex AI, Python, Airflow, Dataform, Dataflow, Dataproc, Spark.
Why Choose Me? I architect secure, enterprise-grade data ecosystems. Using enterprise-tier APIs ensures your proprietary logic never leaks to public models.
Veelgestelde vragen
Is my proprietary database logic and data secure when using AI?
Absolutely. Security is the top priority. I do not use public web-based LLMs for your code. We will utilize enterprise-tier APIs (like Google Vertex AI) directly within your own GCP environment, ensuring your proprietary PL/SQL and business logic remain strictly confidential and compliant.
Will the AI automatically translate 100% of my legacy code perfectly?
AI automates 80-90% of the heavy lifting. I then leverage my experience architecting solutions on GCP to thoroughly review the outputs, manually resolve complex edge cases, and ensure your final BigQuery syntax is perfectly optimized.
What legacy databases can this system migrate from?
My AI agents can translate from almost any major legacy system, including Oracle (PL/SQL), Microsoft SQL Server (T-SQL), Teradata, and PostgreSQL. As long as Google BigQuery is the destination, the system can effectively map the syntax.
Do you also set up the scheduling and orchestration for these pipelines?
Yes! I specialize in end-to-end automation. With the Premium package or Orchestrator extra, I will package your translated BigQuery jobs into Cloud Composer (Apache Airflow) DAGs or Dataform to guarantee reliable and scheduled runs.
What exactly do I receive at the end of the order?
Depending on your package, you receive fully translated, performant BigQuery SQL scripts, comprehensive schema mapping documentation for your new curated layer, and the deployed Airflow orchestration code if requested.
