DataEngUtils for Backend Engineers

Tools for backend engineers

• JWT DebuggerDecode and inspect JSON Web Tokens in your browser without pasting bearer tokens into a public JWT d
• Connection String ParserBreak apart database connection strings for Postgres, MySQL, Snowflake, Redis and Kafka without past
• Base64 Encode / DecodeBase64 Encode / Decode is built for data engineers who need to encode and decode payloads for APIs,
• URL Encode / DecodeURL Encode / Decode is built for data engineers who need to encode and decode payloads for APIs, log
• JSON Format / ValidateJSON Format / Validate is built for data engineers who need to validate and format pipeline configs,
• JSON Schema ValidatorJSON Schema Validator is built for data engineers who need to validate and format pipeline configs,
• Regex TesterRegex Tester is built for data engineers who need to inspect, debug, and explain data artifacts when
• Text Diff CheckerText Diff Checker is built for data engineers who need to inspect, debug, and explain data artifacts
• Hash GeneratorHash Generator is built for data engineers who need to generate identifiers, test rows, and mock pay
• UUID GeneratorUUID Generator is built for data engineers who need to generate identifiers, test rows, and mock pay
• Mock SQL DataMock SQL Data is built for data engineers who need to generate identifiers, test rows, and mock payl
• Test Data GeneratorTest Data Generator is built for data engineers who need to generate identifiers, test rows, and moc

Workflow: Debug tokens and connection strings

Inspect JWTs and split database connection strings without exposing credentials to a third party.

1. 1. Decode a JWT

   Paste the token from an authorization header into JWT Debugger — decoded locally.

2. 2. Split a connection string

   Use Connection String Parser to break a database or Redis URI into host, port, database and parameters.

3. 3. Inspect opaque payloads

   Use Base64 Encode / Decode to check encoded values you see in logs or headers.

Workflow: Validate API responses

Format JSON, validate it against a schema and diff two responses when behaviour changes.

1. 1. Format the response

   Paste a raw response from curl or Postman into JSON Format / Validate.

2. 2. Validate the shape

   Use JSON Schema Validator to enforce the response contract.

3. 3. Diff two responses

   Use Text Diff Checker to pinpoint what changed between versions.

Workflow: Generate fixtures and mock data

Create realistic test rows and mock SQL inserts for local development and staging.

1. 1. Generate test rows

   Use Test Data Generator to produce mock rows as JSON or CSV from a field spec.

2. 2. Produce mock SQL

   Use Mock SQL Data to turn a CREATE TABLE into INSERT statements with realistic values.

3. 3. Seed identifiers

   Use UUID Generator and Hash Generator for stable test IDs and checksums.

Frequently asked questions