Data Analyst

Kavtech

1. Data Transformation: Proficient in data mapping, ETL process rules, and automation scripting for data management.
3. Database Security: Ensuring compliance with industry standards and maintaining security protocols.
5. Query Optimization: Developing efficient queries and stored procedures for data access and integrity.
7. AWS Expertise: Migrating data pipelines to AWS Serverless with Lambda, S3, Athena, Redshift, and more.
9. ETL Pipeline: Creating pipelines for data extraction, merging, cleansing, validation, email notifications, and error handling.

Data Engineer

Algo

1. Tools: Azure Data Factory, Azure Synapse Analytics, PostgreSQL, Excel, Power BI
2. Design and implement data pipelines for collection and transformation.
3. Manage data warehousing with Azure Synapse Analytics.
4. Develop Power BI reports for stakeholders.
5. Ensure data accuracy, security, and compliance.
6. Monitor and optimize data processes.
7. Proficiency in Azure Data Factory, Azure Synapse Analytics, PostgreSQL, Excel, Power BI.
8. Strong SQL skills.
9. Problem-solving and teamwork abilities.
10. Join a leading MNC, shape the supply chain with data-driven insights, and contribute to business success.

ETL Developer

Motive

1. BI Developer with hands-on experience on visualization and strong analytic programming skills using Tableau.
2. Proven experience in data modeling, ETL development, and data warehousing, or similar skills.
3. • Collaborated within the Data Engineering team to support the CRM Product, employing SSIS, SQL Stored
4. Procedure for efficient ETL processes, moving data from diverse sources to destination flat files and databases.
5. • Making the CRM product Optimized and Scalable.
6. Capturing data from S3 bucket and RedShift to the Snowflake database. Processing the data and performing analysis
7. on it.
8. • Contributed to enhancing the optimization and scalability of the CRM product.

Data Analyst

Motive

1. Data Professional with expertise in data labeling, collection, distribution, extraction, and AI/ML model recommendations.
2. Managed a 340-member team, assisting with queries and tasks.
3. Collaborated with R&D teams on in-house AI/ML models and high-quality training datasets.
4. Led risk identification and mitigation efforts, shaping the KT Safety product suite.
5. Analyzed customer data to enhance user experiences and reviewed annotated data for accuracy.
6. Proficient in SQL, Redash, MySQL, Amazon S3, and Microsoft Excel.
7. Skilled in data requirements, definitions, tooling, and SLA-driven data delivery.
8. Proactive problem solver committed to finding insights through data.
9. Eager to take on new challenges and contribute to organizational success.

COMSATS University

Software Engineering