Sikandar's CV

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Profile summary

AI & Data Engineer focused on turning raw data into reliable, production-grade pipelines and AI-ready systems. Experienced with Python, SQL, dbt, BigQuery, and cloud-native tooling (GCP, Docker, Kubernetes, Terraform), with additional hands-on work in RAG-based applications and LLM training/evaluation. I enjoy solving problems at the intersection of data infrastructure and applied AI, from schema design to pipeline orchestration.

Key skills

TechnicalLanguages & Frameworks: Python SQL FastAPI Node.js Express.js PostgreSQL MS SQL Server MySQL MongoDB AWS (EC2 DevOps & Infra: Linux Docker Kubernetes
ProfessionalFlask Data & Cloud: ETL ELT Data Modeling dbt Core PySpark BigQuery GCP (GCS BigQuery) S3) Kestra Terraform RabbitMQ

Professional experience

Freelance AI Trainer (RLHF)Oct 2024 - Present
OutlierUAE
  • Evaluated AI-generated code and data pipeline outputs, assessing correctness and relevance of Python and SQL solutions across data engineering tasks.
  • Provided structured feedback on model responses to improve accuracy of data processing and transformation logic.
Associate Software EngineerJan 2023 - Jan 2024
Nanosoft TechnologiesPakistan
  • Designed and maintained relational data models and API layers in Node.js/Express, ensuring consistent, reliable data flow between applications and SQL Server/MySQL databases.
  • Collaborated with cross-functional teams to diagnose data-related performance issues and improve query efficiency and system reliability.
  • Implemented role-based access control on data access layers, enforcing data security and governance at the application level.

Projects

NYC 311 City Complaints — End-to-End Data Engineering Pipeline / Python, dbt Core, GCP, Mage, Terraform

Automated ingestion of 35M+ NYC 311 records from a public REST API with incremental daily loads, retry logic, and idempotent

backfill support, demonstrating large-scale data processing.

Built a partitioned BigQuery data warehouse with multi-layer dbt transformations producing marts for SLA breach rates, seasonal

patterns, and a weighted neighborhood neglect index.

Provisioned GCP infrastructure (GCS, BigQuery, IAM) with Terraform, orchestrated the full ETL pipeline with Mage, and surfaced insights via a 6-page Data Studio dashboard.

Microservice Video-to-MP3 Converter / Python, Flask, RabbitMQ, Docker, Kubernetes, MongoDB

Built an asynchronous microservices pipeline in Python (Flask) for video-to-audio conversion with RabbitMQ message queuing for

decoupled, reliable task processing.

Containerized and deployed all services with Docker and Kubernetes, enabling horizontal scaling and fault tolerance across distributed components.

Education

Bachelor of Computer ScienceJan 2023
University of Karachi

Certifications

Data Engineering ZoomcampDataTalksClub
Understanding Data EngineeringDataCamp
Hands-on Essentials: Data WarehousingSnowflake
Hands-on Essentials: Data Warehousing  — Snowflake

Languages

English · Fluent

Urdu · Native