Maad S.
Data Engineer | BigQuery, GCP, Python & ETL Pipelines
I build reliable data pipelines that connect CRMs, APIs, databases, spreadsheets, and cloud platforms into clean, analytics-ready data using Python, SQL, and Google Cloud. I'm a Data Engineer with 6+ years of experience building and supporting data pipelines, ETL/ELT workflows, and cloud data platforms across retail, banking, healthcare, and other business domains. HOW I CAN HELP CRM, API & Data Integration - Integrate GoHighLevel, HubSpot, Salesforce, Google Sheets, advertising platforms, and payment systems. - Build Python-based API integrations and automated data synchronization. - Consolidate data from multiple sources into PostgreSQL, MySQL, SQL Server, or BigQuery. - Clean, validate, and standardize data for reporting and analytics. GCP & BigQuery - Build and maintain BigQuery data warehouses. - Develop automated ETL/ELT pipelines using Python and SQL. - Ingest data from APIs, databases, cloud storage, SFTP, and other platforms. - Optimize BigQuery queries, partitioning, clustering, and data processing costs. - Orchestrate workflows using Apache Airflow and Cloud Composer. Data Engineering & Automation - Develop reliable batch data pipelines and incremental loads. - Transform raw data into analytics-ready tables. - Implement data validation, error handling, and monitoring. - Support data migrations, troubleshooting, and pipeline improvements. TECHNOLOGIES Python, SQL, Google BigQuery, Google Cloud Platform (GCP), Cloud Composer, Apache Airflow, Cloud Storage, Cloud Functions, PySpark, Databricks, PostgreSQL, MySQL, SQL Server, REST APIs, and dbt. HOW I WORK I start by understanding your current setup and business requirements. Then I recommend a practical solution, build and test the pipeline, and provide clear documentation so your team can maintain it. Whether you need to connect multiple data sources, automate a manual workflow, build a BigQuery warehouse, or improve an existing pipeline, I can help you deliver a reliable solution. Send me a message with your data sources, current setup, and desired outcome. We can discuss the best approach for your project.
Earnings and projects
Last 6 months ÷ 6
Last 6 months: $30
Billed in all: $9,158$9.2k
$30 in the last 6 months
Across 55 contracts
Earnings, last 30 days
Skill rankings: Top 28% in PySpark
Ranked by MRR among everyone on Upwork with the skill.
- #40Data Ingestion114 freelancers · 🇵🇰 #11Top 35%🇵🇰#11 of 24
- #67Amazon Redshift215 freelancers · 🇵🇰 #8Top 31%🇵🇰#8 of 34
- #130PySpark460 freelancers · 🇵🇰 #29Top 28%🇵🇰#29 of 73
- #156Databricks Platform460 freelancers · 🇵🇰 #36Top 34%🇵🇰#36 of 87
- #160dbt375 freelancers · 🇵🇰 #31Top 43%🇵🇰#31 of 62
- #166Apache Airflow491 freelancers · 🇵🇰 #33Top 34%🇵🇰#33 of 100
- #182Data Warehousing494 freelancers · 🇵🇰 #43Top 37%🇵🇰#43 of 106
- #297Amazon S31,028 freelancers · 🇵🇰 #80Top 29%🇵🇰#80 of 197