available for junior data engineer roles

Building reliable data pipelines that scale.

I'm Abhipriyo Biswas — a software engineer with 7+ years of production experience, now focused on data engineering with Python, SQL, PostgreSQL, and Apache Airflow.

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7+
Years Engineering
1M+
Records Processed
100+
Assets Tracked
20%
Perf Improvement
01 — About

From shipping production apps to shipping production data

I spent 7+ years building production-grade applications across full stack, frontend, and mobile — at companies like TELUS Digital and Etelligens Technologies. I learned what it takes to design systems that don't break in front of real users.

Now I'm channeling that engineering rigor into data. I'm pursuing an MSc in Data Science at Central University of Haryana, and building real ETL pipelines, data warehouses, and analytics systems with Python, SQL, PostgreSQL, and Apache Airflow.

I care about idempotency, data quality, modular architecture, and pipelines that you can trust at 3 AM.

02 — technical skills

The stack I build with.

Languages

PythonSQLJavaScriptBash

Data Engineering

ETL PipelinesdbtData ModelingData WarehousingBatch ProcessingIdempotent UpsertsData Quality

Databases

PostgreSQLMySQL

Advanced SQL

Window FunctionsCTEsJoinsIndexingQuery Optimization

Big Data & Workflow

Apache AirflowApache Spark

Cloud

AWS (S3, Glue)GCP BigQueryAzure

DevOps & Tools

DockerGitGitHubLinuxJupyterVS Code

Libraries

PandasNumPyREST APIsJSON Parsing
03 — selected projects

What I've shipped

CoinPulse

Crypto Market ETL Platform

2026
  • Production-grade end-to-end ETL pipeline ingesting CoinGecko market data into PostgreSQL warehouse.
  • Automated daily extraction & transformation across 100+ cryptocurrency assets.
  • Idempotent upserts with primary-key conflict handling for data integrity.
  • Orchestrated with Apache Airflow DAGs in a Dockerized environment.
PythonPostgreSQLAirflowDockerREST API

LogPulse

Application Log Analytics Pipeline

2026
  • Scalable batch pipeline transforming unstructured logs into structured relational records.
  • Field extraction, parsing, and validation for analytics-ready datasets.
  • SQL-based KPI dashboards for request volume, status distribution, and error trends.
  • Normalized schemas and indexing strategies for efficient querying.
PythonPostgreSQLBatch ProcessingSQL Analytics

Credit Card Fraud Detection

ML Data Pipeline

2025
  • End-to-end preprocessing and feature engineering on 1M+ transactional records.
  • Data cleaning, normalization, SMOTE resampling to address class imbalance.
  • Automated transformation workflows producing standardized model-ready datasets.
PythonPandasNumPyFeature Engineering

More onGitHub

04 — Dissertation

Research & Academic Work

As part of my MSc in Data Science at Central University of Haryana, I'm conducting research and developing a comprehensive dissertation project focused on modern data engineering practices and their real-world applications.

Research Focus

Exploring scalable data pipeline architectures, ETL optimization, and data quality assurance patterns in production environments.

Methodology

Implementing real-world case studies using Apache Airflow, PostgreSQL, and cloud-based data warehousing solutions.

Applications

Developing frameworks and best practices applicable to modern data engineering workflows and enterprise data systems.

05 — Experience

Where I've worked

Full Stack Developer / Contractor
Aug 2021 — Dec 2025
TELUS Digital · Remote, Noida, India
  • Integrated REST APIs and processed structured application data used by internal enterprise systems.
  • Optimised backend data processing logic and SQL queries — improved response time by 20% across key workflows.
  • Collaborated in Agile sprints using Git-based version control; zero critical incidents across 2 years of production deployments.
  • Applied performance tuning and modular architecture to codebases serving thousands of enterprise users.
PythonSQLREST APIsGitAgile
Frontend Developer
Dec 2020 — Dec 2025
Etelligens Technologies · Remote, Noida, India
  • Built production-grade React.js and AngularJS applications for 5+ client projects, consuming backend APIs and optimising data-driven UI performance.
  • Consistently delivered features on schedule across distributed Agile teams in remote environments.
React.jsAngularJSAPIsAgile
Mobile Application Developer
Jun 2020 — Dec 2020
Globiz Technology Inc. · Remote, Ludhiana, India
  • Developed hybrid mobile applications using React Native, consuming RESTful APIs and integrating structured backend data into performant mobile UIs.
React NativeREST APIsMobile
Web Designer → Associate Frontend Developer
Aug 2018 — May 2020
Promatics Technologies Pvt. Ltd. · Ludhiana, India
  • Promoted from Web Designer to Associate Frontend Developer within one year based on technical performance.
  • Contributed to frontend development across multiple client-facing web projects.
HTML/CSSJavaScriptUI Design
06 —Education & Certifications

Qualifications & credentials

Education
M.Sc. Data Science
Central University of Haryana, Mahendergarh
Jul 2024 — Jun 2026 (expected)
Data Engineering · Big Data Systems · DB Management · ML · Statistics
B.A. Computer Science
Lovely Professional University
Dec 2020 — Apr 2024
Certifications & Languages
🐍
Python (Basic)
HackerRank
Earned
🗄️
SQL (Basic)
HackerRank
Earned
⚙️
dbt Fundamentals
dbt Labs
In progress
✈️
Airflow Fundamentals
Astronomer Academy
In progress
☁️
AWS Cloud Practitioner Essentials
AWS Skill Builder
Planned
Spoken Languages
EnglishHindiPunjabiBengali
07 — Contact

Let's build something reliable

I'm actively interviewing for junior data engineer roles. If you're hiring, or know someone who is, I'd love to hear from you.