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I am a data engineer with 3+ years of experience designing and implementing scalable data pipelines, ETL workflows, and real-time dashboards using Python, SQL, and PySpark. I automate data ingestion and transformation across AWS and Hadoop ecosystems to deliver faster, more reliable access to business insights. I have hands-on experience in data modeling, warehousing, and performance optimization, and I excel at partnering with analysts and product managers to translate requirements into robust data architectures. I am proficient in Tableau and Power BI for analytics and visualization, and I take pride in delivering efficient, high-quality data solutions.…I am a data engineer with 3+ years of experience designing and implementing scalable data pipelines, ETL workflows, and real-time dashboards using Python, SQL, and PySpark. I automate data ingestion and transformation across AWS and Hadoop ecosystems to deliver faster, more reliable access to business insights. I have hands-on experience in data modeling, warehousing, and performance optimization, and I excel at partnering with analysts and product managers to translate requirements into robust data architectures. I am proficient in Tableau and Power BI for analytics and visualization, and I take pride in delivering efficient, high-quality data solutions.

SAI VINAY NATHI

Data Scientist, Data Analyst, Web Developer, +2

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I am a data engineer with 3+ years of experience designing and implementing scalable data pipelines, ETL workflows, and real-time dashboards using Python, SQL, and PySpark. I automate data ingestion and transformation across AWS and Hadoop ecosystems to deliver faster, more reliable access to business insights. I have hands-on experience in data modeling, warehousing, and performance optimization, and I excel at partnering with analysts and product managers to translate requirements into robust data architectures. I am proficient in Tableau and Power BI for analytics and visualization, and I take pride in delivering efficient, high-quality data solutions.…I am a data engineer with 3+ years of experience designing and implementing scalable data pipelines, ETL workflows, and real-time dashboards using Python, SQL, and PySpark. I automate data ingestion and transformation across AWS and Hadoop ecosystems to deliver faster, more reliable access to business insights. I have hands-on experience in data modeling, warehousing, and performance optimization, and I excel at partnering with analysts and product managers to translate requirements into robust data architectures. I am proficient in Tableau and Power BI for analytics and visualization, and I take pride in delivering efficient, high-quality data solutions.

Available to hire

I am a data engineer with 3+ years of experience designing and implementing scalable data pipelines, ETL workflows, and real-time dashboards using Python, SQL, and PySpark. I automate data ingestion and transformation across AWS and Hadoop ecosystems to deliver faster, more reliable access to business insights.

I have hands-on experience in data modeling, warehousing, and performance optimization, and I excel at partnering with analysts and product managers to translate requirements into robust data architectures. I am proficient in Tableau and Power BI for analytics and visualization, and I take pride in delivering efficient, high-quality data solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Javanese

Advanced

Work Experience

Data Engineer at Carbon Cell

April 1, 2021 - June 1, 2023

Designed and optimized ETL pipelines in Python, SQL, and PySpark to process carbon credit transactions and marketplace data, improving data processing speed by 35%. Automated data ingestion from multiple internal and external sources, consolidating trading, emissions, and regulatory datasets into AWS S3 and Redshift for centralized access. Built and scheduled Apache Airflow DAGs for batch jobs, ensuring reliable marketplace reporting and reducing data latency by 25%. Collaborated with sustainability analysts and product managers to develop data models and schemas for carbon credit trading workflows, supporting downstream analytics and compliance reporting. Implemented data validation, profiling, and SQL query optimization, increasing the accuracy of carbon credit pricing and transaction reports by 20%. Partnered with BI teams to create Power BI dashboards that tracked carbon credit supply-demand trends, enabling stakeholders to make data-driven investment decisions.

Junior Data Engineer at Procial

May 1, 2020 - February 1, 2021

Contributed to the design and development of data pipelines supporting a Blockchain-based DID protocol, enabling secure identity verification and decentralized data sharing. Developed ETL workflows in Python and SQL to integrate on-chain transaction data with off-chain datasets, improving the accuracy of identity scoring models. Built automated data ingestion processes to capture blockchain event streams, transforming and storing them in AWS S3 and Redshift for analytics. Assisted in implementing on-chain scoring algorithms, aggregating transaction history and behavioral data to evaluate user trustworthiness and reduce fraud risks. Collaborated with blockchain engineers and analysts to define data models for DID and scoring systems, ensuring scalability and interoperability. Supported the creation of visual dashboards in Power BI to monitor DID adoption metrics, scoring distributions, and platform growth trends for stakeholders.