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Abinash Mishra

@abinashmishra3

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I build scalable ETL pipelines that deliver reliable, analytics-ready data.

India

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What I'm looking for

I'm looking to build scalable, reliable data platforms and analytics-ready datasets, using cloud services, distributed processing, strong governance, and automation to solve meaningful business problems.

I've built and optimized scalable ETL/ELT pipelines for Lenovo, Atos Syntel, and freelance clients, using Python, PySpark, SQL, Snowflake, AWS, and Apache Airflow.

In my freelance work, I processed 1.2 billion records monthly and reduced pipeline latency from 6 hours to 45 minutes for near-real-time analytics. I also improved data delivery accuracy by 30% and reduced load times by 20% through Talend integrations into Snowflake.

At Lenovo, I maintained Talend Data Integration pipelines at 99.9% SLA reliability, improved Oracle SQL performance by 80%, and supported GDPR-compliant CDC loading and PII data security.

At Atos Syntel, I automated end-to-end data extraction, transformation, and delivery while strengthening data quality, governance, production support, and Agile delivery. I also designed a PySpark-on-AWS-S3 lakehouse with Bronze, Silver, and Gold layers for analytics.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Freelancer & Self-employed

Dec 2025 - Present (9 months)

Designed and developed scalable ETL/ELT data pipelines with Python and PySpark, processing 1.2 billion records monthly and reducing latency from 6 hours to 45 minutes. Orchestrated complex workflows with Apache Airflow, reducing operational failures by 25%.