feature: added datadog integration for send metrics

[IvanildoBarauna]

This pull request includes several significant changes to the api-to-dataframe project, focusing on updating dependencies, integrating metrics tracking, and configuring the development environment.

Dependency and configuration updates:

• Updated the pyproject.toml version from 1.3.11 to 1.3.12 and added datadog as a dependency. [1] [2]
• Updated the Python SDK references in .idea/api-to-dataframe.iml and .idea/misc.xml to use Python 3.11 virtual environment. [1] [2]
• Commented out the local pylint hook configuration in .pre-commit-config.yaml.

Metrics integration:

• Added a new MetricsClient class in src/api_to_dataframe/utils/metrics.py to handle metrics tracking using Datadog.
• Integrated MetricsClient into ClientBuilder class to track metrics for client building and API data fetching processes. [1] [2] [3] [4]