Cloud Data Engineer And Architect Resume
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SUMMARY:
Cloud Data Engineer and Architect adept at designing and implementing technical and business solutions using leading - edge technologies. 15 years of proven history in developing end to end solutions with strong technical knowledge combined with business vision and organization goals. Possess excellent communication and leadership skills, a high degree of collaboration with cross-functional and geo-distributed teams.
PROFESSIONAL EXPERIENCE:
Confidential
Cloud Data Engineer and Architect
Responsibilities:
- Data ingestion and processing modules
- Automation of data quality, quantity and completeness metrics
- Data onboarding and catalog portal
- Data Governance
- 4 Year of leadership experience managing team of data analyst and data scientist
- Built business case, analytics solutions, performance measurement reporting & automation, predictive and quantitative models from conceptualization to implementation for multi - billion business/network transformation programs
- Built ETL data pipeline and Business reporting solutions using tools like Python, Informatica and tableau
- Experienced in Machine learning, Data mining, Predictive Analytics, statistical modeling to solve business problems
- Hands-on SQL skills with excellent exposure to database structures & principles, data models & dimensional models at enterprise scale
- Experienced with the principles of data engineering, data warehouses, ETL tools on-premise solid understanding of cloud services and web frameworks
- Working Cross-functionally with key stakeholders in Finance, Marketing, Engineering, Strategy, and Operations
- Design and developed Python framework for moving data from in-perm to Snowflake (for initial Data migration)
- Build frame work to integrate AWS GLUE job to BMC Control-m integration to on-perm data compliance
Solution Architecture and Implementation Lead
Confidential
Responsibilities:
- Remote Management Services Platform (Also called Cloud Managed Services Platform)
- Effortless Proactive Customer Experience Solutions
- Knowledge Management and Automation using Natual Language Processing (NLP) and Text Analytics techniques
- Solution Integration of COTS (Commercially off - the-shelf) tools to build delivery solutions
- End to implementation experience on-perm to Cloud migration(Snowflake, Data stage,Python and Pyspark)
- Design, Development and Solution Integration of Cloud data warehousing solution and data pipeline
- A Strong performer who excels in cross-functional engagements, leadership, and customer-centric solutions
