JP
Founder & Technical Lead

João Pedro Carvalho

Technical Lead & Data Engineer

10+ years building enterprise data platforms across high-volume production environments. SQL Querywise was born from the frustration of repeating the same documentation, review, and optimisation tasks manually — and the conviction that AI could do it better, faster, and with dialect-specific precision.

10+
Years in Data Engineering
241
Proprietary SQL Rules
5
SQL Dialects Covered
6
AI Tools Built

Why I Built SQL Querywise

After a decade of working on enterprise data platforms, I noticed a pattern: every team I joined spent a disproportionate amount of time on the same repetitive tasks — writing documentation for stored procedures, reviewing queries for performance issues, explaining complex CTEs to business stakeholders, and converting legacy T-SQL to PostgreSQL or BigQuery.

Generic AI tools like ChatGPT can help, but they require constant prompt engineering, lack dialect-specific knowledge, and produce inconsistent output formats. I wanted something that felt like having a senior SQL engineer sitting next to you — one who already knows the 241 rules that matter in production, and can apply them instantly.

SQL Querywise is that tool. It is built on real enterprise experience, not academic examples. Every rule in the engine comes from a real production incident, a real performance bottleneck, or a real security vulnerability I encountered in the field.

Areas of Expertise

Enterprise Data Architecture

Designing scalable data pipelines and warehousing solutions for large-scale enterprise environments.

SQL Dialects

Deep expertise in T-SQL, PL/SQL Oracle, PostgreSQL, MySQL, and BigQuery across production systems.

Query Optimisation

Tuning complex queries, execution plans, index strategies, and partitioning for high-volume OLTP and OLAP workloads.

Data Governance

Implementing data quality frameworks, lineage tracking, and compliance controls in regulated industries.

Technical Leadership

Leading cross-functional data engineering teams, mentoring engineers, and driving architectural decisions.

Best Practices

Author of 241 proprietary SQL rules across 5 dialects, distilled from 10+ years of enterprise production experience.

Career Timeline

2026

Founded SQL Querywise — AI-powered SQL tools platform for Data Engineers

2024–present

Technical Lead, Data Engineering — enterprise data platform with 100M+ daily events

2020–2024

Senior Data Engineer — data warehouse modernisation, ETL pipelines, real-time streaming

2016–2020

Data Engineer — SQL Server, Oracle, PostgreSQL environments; performance tuning and migration projects

2014–2016

Junior Data Analyst — first exposure to enterprise SQL and BI tooling

Try the tools — free, no credit card required

3 free uses on every tool. See what 10+ years of enterprise SQL experience looks like when it's automated.

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