Open to opportunities

Sayli Sawant

@saylisawant

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Data Engineer with 4.5+ years delivering end-to-end ETL, warehousing, and data quality for Banking and Manufacturing.

Spain

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What I'm looking for

I’m looking for a role where I can own end-to-end data pipelines, modernize warehouse architectures on Azure, strengthen data governance, and partner with business stakeholders to turn requirements into reliable, high-performance datasets.

I’m a Data Engineer with 4.5+ years of end-to-end ownership across ETL transformation, warehousing, and data quality governance in Banking and Manufacturing domains. At Morgan Stanley, I architected and owned an automated SQL extraction platform for a Risk Assessment programme and delivered Python-driven ETL that cut manual data entry time by 80% while eliminating errors.

I build and optimize complex SQL pipelines, PySpark-based transformations, and data warehouse schemas, including centralized consolidation of customer, data modeling, and product transaction domains. I collaborate with business stakeholders and SMEs to translate reporting requirements into architecture decisions, and I’m currently expanding my expertise in Azure Data Factory, Azure Databricks, and Delta Lake through end-to-end event pipeline work.

Experience

Work history, roles, and key accomplishments

Data Engineer

Zen & Art

Apr 2023 - Feb 2026 (2 years 10 months)

Architected and owned an automated SQL extraction platform for a Risk Assessment programme, and delivered ETL pipelines across warehousing and data quality governance. Reduced manual data entry by 80% and processing time by 40% through Python/PySpark and optimized SQL transformations.

SQL T SQL Python Pyspark Airflow Azure Data Factory Databricks Delta Lake Snowflake DBT ETL ELT Data Warehousing Data Quality Governance Data Modeling Azure DevOps Data Governance CI CD

Data Analyst

Om Tubes and Fitting Industries

Jan 2021 - Jan 2023 (2 years)

Built Python-based ETL pipelines with Pandas to process large datasets and supported reporting pipelines using SQL and Power BI. Migrated legacy data and built Power BI dashboards for revenue, production, and sales reporting.