Aditya Paliwal 💻

Aditya Paliwal

(he/him)

Data Engineer

Datashift

Professional Summary

Data Engineer with 4+ years of experience in implementing and deploying end-to-end data pipelines in production environments. Passionate about combining data engineering with cutting-edge machine learning and AI technologies to create intelligent, data-driven products.
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Education

Advanced Masters in Artificial Intelligence

2021
2022

KU Leuven, Belgium

Masters in Computer Science

2018
2020

KU Leuven, Belgium

Bachelors in Computer Science

2014
2018

Dr. APJ Abdul Kalam Technical University, India

Interests

Data Engineering Data Pipelines & ETL/ELT Cloud Computing (AWS, Databricks) Machine Learning & AI Data Visualization

Experience

  1. Data Engineer

    Datashift
    Implementing data solutions using modern data stack including dbt, Databricks, and cloud technologies.

  2. Data Engineer

    Telenet
    Maintained and optimized data processing platform. Implemented, scheduled and monitored ETL tasks for data product deliveries. Built dashboards with Qlik Sense for business stakeholders.

  3. Master Thesis Intern

    NXP Semiconductors
    Research project investigating ML techniques for Indoor Positioning Systems. Explored supervised vs semi-supervised learning on BLE positioning data.

  4. Part-Time Employee

    SoundTalks NV
    Hardware testing team - bug reporting and inventory management using Odoo.

  5. Summer Intern

    NXP Semiconductors
    Built Indoor Positioning System prototype based on RSSI values. Trained ML model on 15,000 RSSI values achieving ~2 meter accuracy.

Education

  1. Advanced Masters in Artificial Intelligence

    KU Leuven, Belgium
    Big Data Analytics track. Courses: Data & Statistical Modeling, Privacy and Big Data, Data Mining, Big Data Analytics Programming, AI Ethics, Computer Vision, Artificial Neural Networks and Deep Learning, Support Vector Machines.

  2. Masters in Computer Science

    KU Leuven, Belgium
    Thesis: BLE-based Indoor Positioning System using Machine Learning at NXP Semiconductors.

  3. Bachelors in Computer Science

    Dr. APJ Abdul Kalam Technical University, India
    Thesis: Digital Secure Voting System.
Skills
Data Engineering
Python (Pandas, Polars, Dask, PySpark)
ETL/ELT Pipelines
dbt
Apache Airflow
SQL
Cloud & Tools
AWS (Lambda, S3, ECS, EC2, CloudWatch)
Databricks
REST APIs / FastAPI
Qlik Sense
Projects
Research

BLE-based Indoor Positioning System

Master thesis project at KU Leuven in collaboration with NXP Semiconductors.

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Research

Digital Secure Voting System

Undergraduate thesis project designing a secure biometric voting system.

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Blog Posts

Scheduling DAGs in Airflow

Day 3 of “Master Apache Airflow in 15 Days” - Explore scheduling using fixed intervals, Cron expressions, and flexible time-based intervals.

Crafting Your First Real Airflow DAG

Day 2 of “Master Apache Airflow in 15 Days” - Write your first workflow and understand core components like tasks, operators, and dependencies.

See all posts