Database Migration and Email Automation

Case Study

Python and SQL workflows for reporting database migration, schema preservation, backup helpers, and email-related automation.

Reporting PlatformClient engagement - Selected workSolo

System architecture

Architecture / Flow

The practical path from source data to reliable reporting output.

Source inventory

Operational databases, reporting tables, and email workflows are mapped before migration.

Migration scripts

Python and SQL workflows move or rebuild Postgres and BigQuery-style reporting tables.

Domain SQL

Reporting domains such as campaign, dashboard, ingestion, task, and CRM tables stay grouped and repeatable.

Verification

Backups, dry runs, schema checks, type checks, and email workflow tests reduce cutover risk.

Project Overview

Built migration and automation workflows for a reporting platform where moving data safely mattered more than simply copying rows. The work included Python migration scripts, schema SQL, reporting-domain query files, backup helpers, and mail workflow scripts.

Key Challenges

Migration work had to preserve schema shape and downstream reporting usability
Subtle type mismatches or missing domain tables could break dashboards after a successful copy
Email workflows needed controlled testing before downstream use
Reporting domains and table names needed controlled migration and validation

Results & Impact

Built Python and SQL workflows for database/reporting migration
Organized reporting-domain SQL around repeatable migration and validation
Added backup helpers and mail workflow scripts
Defined a reusable migration pattern for CRM, task, and reporting-style tables

Technology Stack

PythonSQLPostgreSQLBigQuerypandasSQLAlchemyCloud StorageEmail Workflows

Project Details

Industry:Data Pipelines & Migrations

Duration:Client engagement

Team Size:Solo

Completed:Selected work

Have a similar data workflow?

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