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Hi, I’m Sailee Pawaskar, a results-driven Data & AI Engineer with 6+ years of experience designing scalable ETL pipelines, data models, and cloud integrations for financial services and analytics platforms. I love turning complex data into clear insights and automating reporting to save time. I’ve delivered AI-driven solutions using OpenAI, Hugging Face, and n8n, and I regularly collaborate with data scientists, product owners, and business stakeholders to improve data quality and enable data-driven decision making.…Hi, I’m Sailee Pawaskar, a results-driven Data & AI Engineer with 6+ years of experience designing scalable ETL pipelines, data models, and cloud integrations for financial services and analytics platforms. I love turning complex data into clear insights and automating reporting to save time. I’ve delivered AI-driven solutions using OpenAI, Hugging Face, and n8n, and I regularly collaborate with data scientists, product owners, and business stakeholders to improve data quality and enable data-driven decision making.

SAILEE PAWASKAR

Back-End Developer, Developer, AI Prompt Engineer, +4

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Hi, I’m Sailee Pawaskar, a results-driven Data & AI Engineer with 6+ years of experience designing scalable ETL pipelines, data models, and cloud integrations for financial services and analytics platforms. I love turning complex data into clear insights and automating reporting to save time. I’ve delivered AI-driven solutions using OpenAI, Hugging Face, and n8n, and I regularly collaborate with data scientists, product owners, and business stakeholders to improve data quality and enable data-driven decision making.…Hi, I’m Sailee Pawaskar, a results-driven Data & AI Engineer with 6+ years of experience designing scalable ETL pipelines, data models, and cloud integrations for financial services and analytics platforms. I love turning complex data into clear insights and automating reporting to save time. I’ve delivered AI-driven solutions using OpenAI, Hugging Face, and n8n, and I regularly collaborate with data scientists, product owners, and business stakeholders to improve data quality and enable data-driven decision making.

Available to hire

Hi, I’m Sailee Pawaskar, a results-driven Data & AI Engineer with 6+ years of experience designing scalable ETL pipelines, data models, and cloud integrations for financial services and analytics platforms. I love turning complex data into clear insights and automating reporting to save time.

I’ve delivered AI-driven solutions using OpenAI, Hugging Face, and n8n, and I regularly collaborate with data scientists, product owners, and business stakeholders to improve data quality and enable data-driven decision making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Hindi

Fluent

Work Experience

I.T. Analyst | Software Engineer | Data Engineer | Backend Developer at Tata Consultancy Services (Client: Deutsche Bank – Germany & UK)

April 30, 2024 - July 25, 2025

Designed and developed scalable ETL pipelines using Python, Apache Spark, Hive, and SQL to support large-scale enterprise data migration and regulatory compliance. Built automated data validation frameworks decreasing data inconsistencies and manual QA efforts, improving data quality. Engineered API-driven data integration platforms enhancing real-time data synchronization and reducing system latency. Implemented Apache Atlas for metadata and data governance enabling effective lineage tracking and compliance. Led data governance frameworks for Anti-Financial Crime datasets achieving complete regulatory compliance. Mentored junior developers boosting productivity and code standards. Collaborated in Agile teams contributing to sprint planning and cross-functional improvements.

Independent Consultant – Data Engineering & AI Automation at Freelance (Remote)

May 1, 2024 - Present

Engineered data pipelines and AI automation solutions for finance and analytics clients. Designed SQL and Python workflows to automate reporting, reducing processing time by 30%. Built ETL pipelines integrating transactional and regulatory data into warehouses. Integrated OpenAI and Hugging Face APIs into n8n/FastAPI pipelines for summarization and anomaly detection. Developed LLM-based summarization workflows, reducing manual analysis time by 40%. Deployed GCP (BigQuery + Cloud Storage) solutions for scalability and cost efficiency. Automated reconciliations and MIS reporting using Airflow and Python.

Software Engineer – Data Engineering & Backend Development at Tata Consultancy Services – Client: Deutsche Bank (London & Frankfurt)

January 1, 2019 - April 1, 2024

Designed and maintained 50+ ETL pipelines in PySpark and SQL, processing 10TB+ data. Developed data models (Star/Snowflake) improving analytics performance by 25%. Implemented data quality frameworks, reducing discrepancies by 40%. Automated workflows with Airflow and Jenkins, cutting manual effort by 40%. Partnered with global teams to deliver compliant, audit-ready data solutions. Optimized Spark queries, improving data retrieval speed by 30%.