Danial Shabbir
Data Engineer / Backend Developer
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https://www.linkedin.com/in/danial-shabbir/
Islamabad, Pakistan
https://stackoverflow.com/users/-
https://github.com/danielox
https://www.researchgate.net/profile/Danial-Sh
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https://www.hackerrank.com/danialmaluk7
PROFILE
I’m an enthusiastic and diligent software technology professional.
Having worked on a variety of projects around various domains
equips me with the ability to adapt, enhance and optimise towards
quality solution delivery. I’m an equally exceptional performer under
pressure with core focus at adhering timelines.
PROFESSIONAL EXPERIENCE
Solutions Engineer, Motive (Formerly KeepTruckin)
Connecting with customers to understand their reporting needs
Designing and developing custom analytical reports using
Snowflake and SQL
Integrating Motive's data warehouse with customer warehouses
Using Python, SQL, Snowflake, Airflow, and Bash scripts to query,
analyze, and visualize data
Working with stakeholders to communicate insights and
recommendations
Developed a custom report that helped a customer to reduce their
fuel costs by 10% (450k USD).
RESEARCH WORK
Twitter Trends: A Ranking Algorithm Analysis on
Real Time Data,
Expert Systems with Applications
Empirical Analysis of Machine Learning
Algorithms for Multiclass Prediction,
Hindawi Journal
SKILLS
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Big Data - AI/ML
Apache Spark, Apache Kafka, Apache NiFi, ELK Stack
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Data Engineer / Backend Developer,
Nowasys Limited
Oct 2022 – present | United Kingdom
Managed, Processed & Delivered terabytes of big data, intensive
workloads via AWS EMRs (PySpark)
Efficient use & processing of S3 Data Lakes via Distributed
Computing Big Data technologies
Refactored, Optimised previous big data processing pipelines to
reduce 35% processing time and boosting marketing team's
efficiency.
Managed AWS EMR workflows with Apache Airflow by scheduling,
monitoring & scaling of DAGs
Reduced cost of AWS EMRs by following best practices of big data to
process large data efficiently on commodity servers
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Amazon Web Services
IAM, EMR, RDS, S3, Redshift, Lambda, Glue, EC2, Cloud9
Programming Languages
Python, SQL, PHP, JavaScript ES6
Reporting & Analytics
Power BI, Kibana, Pandas, Seaborn, Bokeh, Plotly
Data Science
H2O AutoML, NLTK, Spacy, Hugging Face, BiTerm, Scikit Learn
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Backend Frameworks / Server Tools
Flask, Gunicorn, Django, Laravel
Soft Skills
Adaptability, Collaboration, Communication Skills, Creativity, Critical
Thinking, Presentation Skills, Problem Solving Skils
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Machine Learning Engineer - Big Data,
Rapidev DMCC
Oct 2020 – Apr 2022 | Islamabad, Pakistan
Developed an end-to-end real-time ETL Pipeline to move 20 million
rows of data daily from HDFS, and S3 to data warehouses
Created, updated, and maintained SQL and Python-based custom
reports for internal end-users and external clients.
Created advanced ml models, visualizations, and measures to build
Machine Learning dashboards.
Implemented near real time log analytics pipeline using elastic
search , Logstash and kibana.
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Backend Developer, Premium Meat
Jan 2019 – Oct 2019 | Auckland, New Zealand
To process online payments with the specified suburbs
Designed analytics dashboard presenting the health and significant
aggregations to business
Coordinated with the stakeholders on project progress
Deployed and maintained digital ocean VPS for website
optimization
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PROJECTS
OSINT, Open Source Intelligence Tool
Performed ETL with Spark and Kafka. Implemented machine learning
models on the pipeline. Implemented microservices for as per
requirements
ASR, Spech to Text Opinion Mining
A end-to-end ETL pipeline with machine learning for video to audio
conversion and transcription
PlayRevz, Analyze customer reviews and feedback
A web-based application that analyzes, monitors, google play store
app reviews,ratings and classifies each review for different categories.
Premium Meat,
Fully Personalized e-commerce store
A complete meat-seller e-commerce with a fully customizable admin
panel, dashboard, e-payments and reporting with data warehousing
capabilities