Anjuman Nehal

✔ Automated Data Processing: Developed a workflow to extract data from Snowflake tables, convert it into XML format, and seamlessly transfer it to AWS S3 via SFTP, reducing manual effort, and increasing accuracy.
✔ Metadata Management Application: Designed and developed a Streamlit-based application for handling metadata, enabling smooth data governance, and operational efficiency.
✔ Version Control & Deployment: Hands-on experience with GitLab CI/CD pipelines for streamlined development and deployment.
✔ Kubernetes and Cloud Technologies: Familiar with containerization and orchestration to manage cloud-based applications efficiently.

✔ Migration: Led the migration of legacy Talend-based ETL workflows to Snowflake, ensuring seamless data movement from MSSQL, Restful APIs, and Salesforce. Migrated data pipelines from Talend to Snowflake, integrating data from MSSQL, APIs, and Salesforce.

Technology Used :

• Python
• Snowflake
• Postman
• Kubernetes
• CI/CD Pipeline methodology
• Linux

• Perform complex data analysis (root cause deep dives, correlations, regressions, simulation, optimization) to identify different opportunities to reduce ship costs, increase fill rate, lower inbound cost, improve perfect order % etc.
• Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance.
• Build infrastructure and implement maintenance strategy for internal dataset to support swift analysis to answer critical business questions.
• Work with large datasets, automate data extraction, and build monitoring/reporting dashboards and high value, self-service automated BI solutions.
• Maintaining and administering internal AWS cluster for India Operation Finance.

Technology Used:

• Python3
• SQL (Amazon redshift/PostgreSQL/Oracle/MySQL)
• Amazon QuickSight
• Excel
• ETL
• Data Warehousing
• Data Modeling
• Snowflake
• AWS Services (S3, Lambda, RDS, CloudWatch, Glue)

• Taking care whole lineage infrastructure for network and servers, creating dashboard reports for MPLS utilization, AWS Instance Reports and Backup reports to customers, supporting MRS Patching activity on servers. Configuration on Network Firewall for user accounts, also participated in AD according to user demands. Got appreciation from lead and client for providing successful patch on servers without any miss.

Technology Used:

• AWS
• Cisco Networking using Putty
• Linux admin commands
• Remote session to servers
• VMware commands