Open to opportunities

Ali Bin Kashif

@alibinkashif

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Data engineer specializing in Big Data, analytics, and AI, delivering cost-efficient, automated data platforms.

Pakistan

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What I'm looking for

I'm seeking a mid-level data engineering role where I can build automated, cost-efficient big data and AI pipelines, improve observability, and drive measurable business impact.

I am a data engineer focused on building scalable, cost-efficient big data and AI pipelines that turn raw data into reliable business insights.

I refactored a data infrastructure of 30+ Cloud Functions into a FastAPI microservice on Cloud Run, automated with Terraform & GitHub Actions, added Slack alerts & logging for errors and data quality checks, cutting deployment time by 80% and delivering a reliable, maintainable, well-documented system. I also built a multi-source revenue pipeline (Stripe, PayPal, Shopify, etc.) into Databricks and Looker dashboards, cutting manual tracking by 80% and cut costs 90% with a BigQuery→GCS→Snowflake migration pipeline.

I deployed real-time anomaly detection (SARIMA) with Slack alerts for web analytics, automated GA4 ingestion and real-time revenue attribution pipelines, and developed ETL jobs in PySpark on Databricks. I have built custom GPT/chatbots on BigQuery and worked with RAG, LangChain, Pinecone and OpenAI to deliver instant data insights and AI-driven interfaces.

I hold a BS in Computer Science and led my team to win IBA Datathon 2.0 in the data engineering domain; I also served as manager of a 12+ member tech domain and founded a social welfare body of 30+ volunteers. I pursue roles where I can apply automation, observability, and cost optimization to deliver measurable business value.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer II

Current

MarketLytics

Jul 2025 - Present (1 month)

Refactored a data infrastructure of 30+ Cloud Functions into a FastAPI microservice on Cloud Run, automated deployments with Terraform and GitHub Actions, cutting deployment time by 80% and improving reliability with Slack alerts and enhanced logging.

Python fastAPI Google Cloud Run Terraform GitHub Actions)Cloud Functions Logging Monitoring

Current

Data Engineer

Current

MarketLytics

Nov 2024 - Present (9 months)

At MarketLytics, I specialize in building scalable data solutions that unlock insights, improve efficiency, and reduce operational costs. My work involves building robust pipelines, integrating advanced analytics, and delivering impactful products and solve critical data problems for our clients.

Python SQL Data Engineering AWS GCP DBT Airflow BigQuery Snowflake

Data Engineer I

MarketLytics

Aug 2024 - Jul 2025 (11 months)

Built multi-source revenue pipelines into Databricks and created BigQuery + Looker dashboards, reducing manual tracking by 80% and migrating to Snowflake via BigQuery→GCS to cut costs by 90%; deployed real-time anomaly detection with Slack alerts.

Databricks Pyspark BigQuery Snowflake DBT Airflow Python Looker ETL

Data and AI Trainee

MarketLytics

Jun 2024 - Aug 2024 (2 months)

Built Muawin, an anomaly detection system using Prophet, Flask, and Docker, deployed on Cloud Run. Integrated GA4 data into BigQuery, added Slack alerts and reports for real-time monitoring—empowering teams to act fast on web analytics anomalies.

Python Data Analytics Machine Learning Data Engineering Presentation Skills Problem Solving Google Cloud Platform

Data & AI Intern

MarketLytics

May 2024 - Jul 2024 (2 months)

Automated extraction of 5,000+ page PDFs into JSON for LLM training and RAG chatbots, and built Muawin anomaly detection using Prophet with a Flask API deployed on Cloud Run to surface data irregularities.

Python Prophet Flask Google Cloud Run BigQuery Pinecone Data Extraction

Education

Degrees, certifications, and relevant coursework

NED University of Engineering & Technology

BS, Computer Science

2020 - 2024

Grade: 3.4

Activities and societies: - Manager of Tech Domain NSA NEDUET 2020-2021 - Founded and lead a social welfare body for students to carry out philantrophy work all over the city. University life has a big impact on my personality grooming. It has improved my communication, teamwork, problem-solving and leadership skills.

NED University of Engineering & Technology

Bachelor of Science, Computer Science

2020 - 2024

Activities and societies: Manager of tech domain (12+ members); founded and led a social welfare body of 30+ volunteers; led team to win IBA Datathon 2.0; publication: "How I Built a Cost-Effective Data Migration Pipeline That Saved Thousands of Dollars."

Bachelor of Science in Computer Science from NED University of Engineering & Technology, completed 2020–2024. Held leadership roles including managing the tech domain (12+ members), founding a 30+ volunteer social welfare body, and leading a team that won IBA Datathon 2.0; authored a publication on a cost-effective data migration pipeline.