Normala A.

As an experienced Senior Data Engineer and Cloud Architect, I bring with me over a decade of experience and two Google certifications and one Azure certification, demonstrating my expertise in cloud technologies. My skills extend to the technical design and implementation of data pipelines, ETL processes, and backend development, with proficiency in Python and automation tools. My technical leadership abilities enable me to manage projects from inception to delivery, driving successful outcomes for businesses.


HIGHLIGHTS

• Google Cloud Certified Professional Cloud Architect
• Google Cloud Certified Professional Data Engineer
• Microsoft Certified Azure Solutions Architect Expert
• Microsoft Certified Azure Administrator
• Data Engineering (ETL, GCP, Azure, AWS, MS Fabric, Snowflake, Airflow, Fivetran, Airbyte, dbt)
• APIs, Web extraction and Data automations


SKILLS:

• Data Engineering: Designing and implementing data pipelines, ETL processes, and database systems.
• Cloud Architecture: Expertise in cloud platforms such as Google Cloud Platform, AWS, and Azure. Proficient in building and managing cloud-based infrastructure and services such as VM/EC2, Cloud storage/S3, Cloud functions/Lambda, and Google Kubernetes Engine.
• Backend Development: Proficient in Python, with experience in developing scalable and efficient backend systems using frameworks such as Flask, bottle and tornado.
• Automation: Experience in automating processes and workflows using tools such as Apache Airflow and Jenkins.
• Data Analysis and Visualization Integration: Experience integrating to Powerbi
• Database Management: Expertise in various database systems, including MySQL, PostgreSQL, MongoDB, and Google BigQuery.
• Technical Leadership: Proven ability to lead technical teams and manage projects from inception to delivery.


TECHNICAL SKILLS (SUMMARY)

• Languages : Python (Main), PHP, C#/.Net , Java/J2EE
• Tools and Utilities: Tomcat, Apache, CVS, SVN, github, bitbucket, gitlab
• Servers | Platforms : AWS, Google Cloud Platform, Azure, Apache, Web Logic, IIS, NGINX
• Database : Google BigQuery, SQLite, MongoDB, ElasticSearch, MySQL, PostgreSQL, Oracle, MS SQL
• Frameworks: Python-Bottle, Python-Tornado, Python-Flask, CodeIgniter, Laravel, Web MVC, web2py, C# .Net 4.0, Spring, Struts
• Operating Systems: MacOS, all Linux flavors, Windows
• Bug tracking/Management tools: JIRA, EasyBacklog, Trello, Asana, Starteam, tortoiseSVN, tracTickets(ticketing system), Redmine