Data Engineer Solutions

NAHEED AHMADI FARID

SKILLS

PostgreSQL

MongoDB

Apache Kafka

Snowflake

Python

SQL

Tableau, Cognos, AWS Quick Sight &

Power BI

Amazon Glue, RedShift, EMR & Lambda

PySpark

WORK EXPERIENCE

Data Engineer Ocean Estate 2016-2022 Remote

Data Analyst Afghanistan University 2014-2015 Remote Developed and maintained client dashboards using Tableau, Apache Cassandra, and MongoDB.

Monitored and updated asset management data, leveraging SQL Server Integration Services (SSIS) for efficient ETL processes and data storage.

Managed university database repository and documented SOPs. Cleaned and transformed data for predictive models from 15,200+ clients.

Conducted data collection for 10+ research projects, utilizing SQL to perform in-depth analysis and deliver insights.

DATA ENGINEER

U.S. CITIZEN

+1-240-***-****

******.******@*****.***

Washington D.C., United States

CONTACT

Techniques

Data Warehousing

Extract, Transform, Load

(ETL)

Data Integration

Data Pipelines

SQL Server Reporting

Data Management

Data Mining

NoSQL Databases

Data Visualization

CERTIFICATIONS

AWS Data Engineering

SnowPro Core Certified

Databricks Fundamentals

EDUCATION

George Washington Afghanistan University

University

Bachelor of Computer Science

Master of Political Management, 2009-2013

Majoring in Data Analytics

2013-2014

Tools

Data Solutions Development & Implementation: Using Python, AWS Glue & EMR to analyze, design, and build data solutions for enterprise-level subordinate businesses to enhance data visualization capabilities and improve risk assessment processes. Data Pipeline Engineering: Engineered a data pipeline to consume and store 50TB of raw data monthly using Apache NiFi, Kafka, Redis

(NoSQL), Python, and AWS Glue, contributed to a 30% increase in system efficiency and extensive data modeling to capture and refine business requirements and rules.

Data Cleaning & Predictive Modeling: Performed comprehensive data cleaning on datasets from over 1200 contractors, facilitating the creation of predictive models and enhancing data quality. Leveraged AWS Glue for data transformation and cataloging, and Snowflake for efficient storage and query performance, integrating these tools with PostgreSQL for effective data management and analysis. Collaboration & Cross-Functional Partnership: Partnered with 20+ business analysts and 10+ DBAs to gather requirements, perform business analysis, and design data marts. Utilized Databricks, and Spark to create seamless data pipelines and efficient processing workflows, ensuring the timely delivery of data solutions. ETL Process Optimization: Led the analysis and resolution of ETL process failures, data anomalies, and warehousing issues identified by 300+ end-users. Recommended and implemented platform upgrades, resulting in an 80% reduction in recovery time. Competitive Insights & Value Chain Analysis: Examined data from multiple sources and provided actionable insights that offered a competitive advantage.

OTHER

EXPERIENCES

12 Years of Lawmaking Utilizing Data for

Legislation & Campaign

Professional Specialist at Princeton University

Advisor at International Republican Institute

Monitoring & Evaluation Consultancy

I am a data engineer skilled in SQL, Python, AWS Glue, Snowflake & Tableau. I specialize in building data pipelines, and optimizing ETL processes, with a focus on data cleaning and predictive modeling.

Contact this candidate