Asra Khan Email & Phone Number

As a seasoned data engineer, I’ve honed my skills in managing, structuring, and analyzing complex datasets. In this role at Afiniti, I've had the privilege of working for clients such as Virgin Media, Comcast, Sky Group (UK), AT&T Mexico, T-Mobile, SFR (France), AA Insurance, Claro Colombia, and Enel. I'm skilled in in SQL, Python and other relevant technologies. Main responsibilities:Key Responsibilities:- Data Modelling:* Develop and maintain logical and physical data models for the data warehouse.* Design and implement data structures that support reporting and analytics requirements.* Collaborate with data analysts and business stakeholders to understand data requirements, and deliver actionable insights * Proficient in star schemas and snowflake models.- Data Integration:* Experience designing and building complete ETL processes moving and transforming data for ODS, Staging, and Data Warehousing* Optimize data integration processes for performance and reliability.* Utilizing ad-hoc techniques to perform on-the-fly analysis of data* Hands on Experience with open source software platforms (Linux)* Troubleshooting data integration issues* Experienced in Agile development processes* Experience working with Stored Procedures- Data Pipeline Management:* Design and maintain data pipelines that support real-time data ingestion and processing.* Ensure data quality and consistency throughout the pipeline.* Monitor and optimize data pipeline performance.- Data Warehouse Design:* Design and maintain the overall data warehouse architecture.* Implement and maintain data governance policies and procedures.* Ensure data security and privacy compliance.- Cross-Functional Collaboration:* Work closely with data analysts, business stakeholders, and other technical teams to understand data needs and requirements.* Collaborate with software engineers to ensure that data integration and reporting requirements are incorporated into development projects

Karachi

1. Key Responsibilities • Gathering and analyzing user requirements, developing forms, reports and backend algorithms.• Maintaining documentation for business and development processes to ensure the requirement is synced with users.• Code simplification, obfuscation and optimization. Designing database and its required attributes.• Calculating and refining the performance related issues with different departments. • Leading and implementing automation of operational tasks• Holistically framing complex questions in SQL query scripting, making logic-based assumptions, scripting, drawing conclusions using Oracle.• Building, automating, and maintaining complex data queries to compile finance, sales, business unit and operations performance data necessary for modeling and bespoke analyses.• Fulfilling regulatory requirements and its time consuming workload breakups.• Different department related query scripts to forecast what’s user/agent task and KPI’s in detail with calculations.• Managing use of in-house and vendor provided sales & marketing databases.• System analysis on assigned projects. Procedures, requirement gathering and solution development by preparing data modeling and alternative workflow solutions by coordinating with departments.• Managing the relationship & performance with vendors for Data warehousing.• Collaborating with all internal teams to identify opportunities for greater efficiency and work flow improvement/automation.• Driving the adoption of analytics in decision making across all functional areas.2. Key Projects• Development of need assessment Form (NAF).• Third party payment, (Instant Redemption) Implementation • BI implementation (Business Intelligence).• Completed few compliance projects, Dividend Counterfoil, CRS (Common Reporting Standard), KYC (know your customer) with Risk Classification project. AML (anti money laundering). • Implementation of MTS (Margin Trade System).• Data warehousing

Karachi Pakistan

worked on IBM Rational Focal Point,Microsoft Visio 2010 for different projects , Oracle EBS -HRMS.

Diploma, Big Data Analytics, 3Rd Position

a. Key Courses 1. Python Foundations for Big Data Analytics 2. Getting Exploratory Insights into your Big Data Lakes 3. (BI) and Big Data.

Bachelor Of Science (B.S.), Computer Engineering, 1St Division

Relevant Courses: Management Information System, Supply chain management, Database Management system, Cryptography security, and C++.