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I'm a data engineer and data analyst specializing in scalable systems, big data, and machine learning pipelines. I work with Python, SQL, and R to process large-scale data, forecast trends, and segment customers across structured and streaming datasets.\n\nI design ETL/ELT pipelines and ML workflows using Airflow, Kafka, Spark, and dbt, deployed on Snowflake and Redshift. I build real-time analytics dashboards with Tableau and Power BI, and deliver scalable production data platforms on AWS and GCP.…I'm a data engineer and data analyst specializing in scalable systems, big data, and machine learning pipelines. I work with Python, SQL, and R to process large-scale data, forecast trends, and segment customers across structured and streaming datasets.\n\nI design ETL/ELT pipelines and ML workflows using Airflow, Kafka, Spark, and dbt, deployed on Snowflake and Redshift. I build real-time analytics dashboards with Tableau and Power BI, and deliver scalable production data platforms on AWS and GCP.

Sarish Chavan

Data Analyst, Data Scientist, Full Stack Developer, +2

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I'm a data engineer and data analyst specializing in scalable systems, big data, and machine learning pipelines. I work with Python, SQL, and R to process large-scale data, forecast trends, and segment customers across structured and streaming datasets.\n\nI design ETL/ELT pipelines and ML workflows using Airflow, Kafka, Spark, and dbt, deployed on Snowflake and Redshift. I build real-time analytics dashboards with Tableau and Power BI, and deliver scalable production data platforms on AWS and GCP.…I'm a data engineer and data analyst specializing in scalable systems, big data, and machine learning pipelines. I work with Python, SQL, and R to process large-scale data, forecast trends, and segment customers across structured and streaming datasets.\n\nI design ETL/ELT pipelines and ML workflows using Airflow, Kafka, Spark, and dbt, deployed on Snowflake and Redshift. I build real-time analytics dashboards with Tableau and Power BI, and deliver scalable production data platforms on AWS and GCP.

Available to hire

I’m a data engineer and data analyst specializing in scalable systems, big data, and machine learning pipelines. I work with Python, SQL, and R to process large-scale data, forecast trends, and segment customers across structured and streaming datasets.\n\nI design ETL/ELT pipelines and ML workflows using Airflow, Kafka, Spark, and dbt, deployed on Snowflake and Redshift. I build real-time analytics dashboards with Tableau and Power BI, and deliver scalable production data platforms on AWS and GCP.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Engineer at BNY Mellon

October 1, 2024 - Present

Standardized 20,000+ financial and operational records spanning 5+ years using Python and Pandas, expanding actionable datasets and enabling cross-department reporting and audit processes. Engineered automated ingestion pipelines for regulatory and market datasets with Apache Airflow and Python, reducing manual data preparation and ensuring reproducibility for compliance and analytical workflows. Developed SQL-based segmentation logic and Power BI dashboards for regional business and client data, identifying growth areas for strategic initiatives. Created interactive Tableau dashboards from internal and external market datasets, providing real-time insights to 6 business units and reducing monthly ad-hoc reporting requests.

Data Analyst Intern at Excelerate

May 1, 2023 - August 1, 2023

Built production-ready data pipeline using AWS S3 and Redshift to process 1.2M+ voter records; designed a Python model to predict turnout across geographic zones with 85/100 accuracy; delivered insights via Tableau dashboards enabling cross-functional resource shifts and field deployments.

Data Analyst at Airbnb

July 1, 2022 - May 1, 2023

Developed A/B testing workflows, automated ETL pipelines with Airflow and dbt transforming MongoDB data into Snowflake; built time-series forecasting models to project booking demand; created dashboards tracking cancellation trends and UI KPIs, guiding regional campaigns and improving stakeholder decision-making.