GCP Data Engineer | Python, SQL, GCP, AWS, Airflow, DBT, ETL
Hi, I'm Danish Valmani, a highly skilled and versatile Data Engineer with a strong foundation and a deep passion for data-driven solutions. I have extensive hands-on experience in SQL, Python, and a myriad of data engineering tools and platforms such as GCP, AWS, Docker, PostgreSQL, MySQL, BigQuery, Apache Airflow, and DBT (Data Build Tool) and Data Visualization tools. I am adept at building robust ETL pipelines, performing complex data analyses, and creating insightful visualizations. My proficiency spans across both cloud environments—GCP and AWS—enabling me to deploy scalable and efficient data solutions tailored to specific business needs.
I have successfully delivered freelance projects to numerous clients with utmost satisfaction, focusing on Python scripting, SQL database management, workflow orchestration with Airflow, and comprehensive data visualizations using tools like Looker Studio, Power BI, Tableau, and Dash Plotly. Additionally, my professional journey includes developing and maintaining ETL/ELT pipelines, leveraging my skills in Python, SQL, and Docker to streamline data processes.
Certifications from IBM and Google attest to my competence in data engineering, data warehousing, and data analytics, ensuring that I stay at the forefront of industry standards and best practices. Whether it's automating data scraping processes, integrating APIs, or conducting end-to-end data engineering projects, I bring a meticulous and innovative approach to every task.
I am committed to delivering high-quality, data-driven insights that empower businesses to make informed decisions and achieve their goals. Let's collaborate to transform your data into actionable intelligence and drive your success forward.