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PALEN PUSHKAR

PALEN PUSHKAR

Software Engineer - Data Engineer

Bengaluru $50/hr 1+ yrs exp 92 · Outstanding

About

Experienced Software Engineer with a demonstrated history of working in the information technology and services industry. Skilled in data engineering, CI/CD pipelines, and cloud infrastructure. Strong engineering professional with a Bachelor of Technology (B.Tech.) focused in Information Technology from Indian Institute of Information Technology, Allahabad.

Skills & Expertise (42)

PySpark OpenAI LLMs TensorFlow JSON Playwright Beautiful Soup NumPy Pandas Sklearn LangChain VectorDB Postman GitHub Notebooks LINUX Power BI Excel Jira Streamlit Telegram Bot Docker Database Management Object Oriented Concepts Python C++ JavaScript SQL Bash FastAPI RAGs Pipeline Apache Spark Operating systems Kubernetes GitHub Actions Apache Airflow ArgoCD ECR Segment SFTP Payment Services Snowflake

Work Experience

Software Engineer

Ethos Life

7-2024 - 4-2025

Developed automated test workflows within CI/CD pipelines using GitHub Actions, validating code changes across production and test environments. Boosted code quality by 40% and reduced manual review time by 60%, ensuring stable deployments. • Migrated 15+ Apache Airflow DAGs to Kubernetes Pod for containerized, scalable data pipelines with fault isolation. Utilized Docker and AWS ECR for image management, cutting execution failures by 35% and maintenance efforts by 50%. • Engineered a YAML - driven data processing framework to automate SQL processing. Achieved 80% faster query performance and integrated data publishing to platforms like SFTP, S3, and Segment, with deployments managed via ArgoCD. • Designed and deployed scalable, ETL - based data pipelines using DBT, accelerating data processing by 6x. Optimized Snowflake data models, reducing query latency by 60%, and containerized components using Docker for consistent deployment. • Built over 5 Apache Airflow DAGs from scratch to automate complex workflows. Adopted modular and reusable components, with CI/CD integration via GitHub Actions and deployment through ArgoCD, resulting in a 90% reduction in data processing time.

Associate Software Engineer

MAQ Software

1-2024 - 5-2024

• Designed and deployed a distributed PySpark pipeline on Apache Spark for sentiment analysis of survey comments using NLP techniques, achieving 97% accuracy in emotion classification and using LLM-generated comments to enlarge the dataset. • Conducted data analysis using Power BI by developing multiple visualization charts and generating insightful reports. • Managed sprint planning, task tracking, and project workflows using Jira in an Agile Scrum environment.

Software Engineer - Data Engineer

Ethos Life

July-2024 - April-2025

Developed automated test workflows within CI/CD pipelines using GitHub Actions, validating code changes across production and test environments. Boosted code quality by 40% and reduced manual review time by 60%, ensuring stable deployments. Migrated 15+ Apache Airflow DAGs to Kubernetes Pod for containerized, scalable data pipelines with fault isolation. Utilized Docker and AWS ECR for image management, cutting execution failures by 35% and maintenance efforts by 50%. Engineered a YAML-driven data processing framework to automate SQL processing. Achieved 80% faster query performance and integrated data publishing to platforms like SFTP, S3, and Segment, with deployments managed via ArgoCD. Designed and deployed scalable, ETL-based data pipelines using DBT, accelerating data processing by 6x. Optimized Snowflake data models, reducing query latency by 60%, and containerized components using Docker for consistent deployment. Built over 5 Apache Airflow DAGs from scratch to automate complex workflows. Adopted modular and reusable components, with CI/CD integration via GitHub Actions and deployment through ArgoCD, resulting in a 90% reduction in data processing time.

Associate Software Engineer

MAQ Software

January-2024 - May-2024

Designed and deployed a distributed PySpark pipeline on Apache Spark for sentiment analysis of survey comments using NLP techniques, achieving 97% accuracy in emotion classification and using LLM-generated comments to enlarge the dataset. Conducted data analysis using Power BI by developing multiple visualization charts and generating insightful reports. Managed sprint planning, task tracking, and project workflows using Jira in an Agile Scrum environment.

Education

B.Tech in Information Technology

2020 - 2024 · India

Bachelor of Technology

2018 - 2024 · India

Certifications

Expert on Codeforces

Codeforces · 2021

Rated Expert on Codeforces with Rating 1631

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 7/15
💰 Rate 5/5
🏆 Certs 5/5
Verified 5/5
Total Score 92/100

Profile Overview

Member sinceJun 2025

Availability Details

Visa Status

No Visa

Relocation

Open to Relocation

Skills (42)

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