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I will be your apache airflow expert for etl, dags, and workflow automation with python
Data and Analytics Engineer
Data Engineer with experience in Designing Cloud Data Architecture with AWS, Azure, storing and
analyzing large data volumes. Developing comprehensive pipelines for data processing and
validation and ...
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Apache Airflow Expert for Your Project Needs
Are you looking for Airflow experts? I help organizations automate and optimize data workflows using Apache Airflow across AWS, Azure, and GCP. With over 2 years of enterprise experience and more than 30 completed data engineering projects, I build reliable and scalable pipelines that support analytics, reporting, and machine learning teams.
Services Offered:
- Project planning and consultation for Airflow on AWS, Azure, and GCP: Understanding your requirements and designing the right orchestration approach.
- Airflow DAG and pipeline development: Creating ETL/ELT workflows, scheduling, dependencies, monitoring, and automation.
- Data transmission, cleaning, and processing: Ensuring accuracy, quality, and efficiency in all data flows.
- Integration with data warehouses: Including Amazon Redshift, Snowflake, BigQuery, Databricks Lakehouse, and Azure Synapse.
- End-to-end data workflow management: From ingestion to transformation, using Airflow, Python, SQL, PySpark, Kafka, and cloud-native services.
Why Choose Me:
- Strong cloud expertise across AWS, Azure, and GCP.
- Skilled in Python, SQL, NoSQL, PySpark, Kafka, and Spark for Data Processing.
My Portfolio
FAQ
What do you need from me to get started?
I need access to your environment (AWS, Azure, GCP, or local), details of your data sources, the required workflow steps, and any existing scripts or documentation.
Can you work with my existing Airflow setup?
Yes. I can review, fix, optimize, or extend your current Airflow environment, including MWAA, Composer, and self-hosted Airflow.
Do you support multiple cloud platforms?
Yes. I work with AWS, Azure, and GCP and can build Airflow pipelines that integrate with Redshift, Snowflake, Databricks, BigQuery, Synapse, and other services.
Can you integrate external tools into Airflow?
Yes. I work with Python scripts, APIs, Spark, PySpark, Kafka, SQL databases, cloud storage systems, and data warehouses.
Will you document the workflows you create?
Yes. All pipelines come with clear documentation explaining how the DAGs work, how to run them, and how to update them.
Do you offer deployment and production support?
Yes. I can deploy Airflow workflows to production and assist with scheduling, monitoring, and performance tuning.
Can you sign an NDA?
Yes. I am open to signing an NDA if your project requires confidentiality.
What if I need ongoing support or updates?
I offer continued support as an additional service. You can order custom work or a monthly maintenance package.
