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Data Engineer with 3+ years of experience building scalable data pipelines and integrating real-time and batch processing across AWS and other cloud platforms. Skilled in Python, SQL, Spark, Snowflake, Databricks, and orchestration tools like Airflow. I focus on data modeling, ETL/ELT, streaming ingestion (Kafka), and production observability—partnering with BI, ML, and business stakeholders to deliver reliable, ML-ready datasets and actionable insights using modern cloud architectures and AI-assisted tooling.…Data Engineer with 3+ years of experience building scalable data pipelines and integrating real-time and batch processing across AWS and other cloud platforms. Skilled in Python, SQL, Spark, Snowflake, Databricks, and orchestration tools like Airflow. I focus on data modeling, ETL/ELT, streaming ingestion (Kafka), and production observability—partnering with BI, ML, and business stakeholders to deliver reliable, ML-ready datasets and actionable insights using modern cloud architectures and AI-assisted tooling.

Dixit Italiya

Data Scientist, Data Analyst, Programmer, +2

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Data Engineer with 3+ years of experience building scalable data pipelines and integrating real-time and batch processing across AWS and other cloud platforms. Skilled in Python, SQL, Spark, Snowflake, Databricks, and orchestration tools like Airflow. I focus on data modeling, ETL/ELT, streaming ingestion (Kafka), and production observability—partnering with BI, ML, and business stakeholders to deliver reliable, ML-ready datasets and actionable insights using modern cloud architectures and AI-assisted tooling.…Data Engineer with 3+ years of experience building scalable data pipelines and integrating real-time and batch processing across AWS and other cloud platforms. Skilled in Python, SQL, Spark, Snowflake, Databricks, and orchestration tools like Airflow. I focus on data modeling, ETL/ELT, streaming ingestion (Kafka), and production observability—partnering with BI, ML, and business stakeholders to deliver reliable, ML-ready datasets and actionable insights using modern cloud architectures and AI-assisted tooling.

Available to hire

Data Engineer with 3+ years of experience building scalable data pipelines and integrating real-time and batch processing across AWS and other cloud platforms. Skilled in Python, SQL, Spark, Snowflake, Databricks, and orchestration tools like Airflow.

I focus on data modeling, ETL/ELT, streaming ingestion (Kafka), and production observability—partnering with BI, ML, and business stakeholders to deliver reliable, ML-ready datasets and actionable insights using modern cloud architectures and AI-assisted tooling.

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Work Experience

Data Engineer at Procore Technologies

August 1, 2024 - Present

Built and maintained secure, scalable data pipelines across AWS services including S3, Glue, and Lambda for real-time ingestion and batch processing. Designed and optimized data models in Snowflake and DB2 to support BI dashboards, operational analytics, and ML-ready datasets. Orchestrated complex workflows using Apache Airflow and AWS Step Functions with dependency management and SLA enforcement. Integrated Kafka-based streaming pipelines for near real-time processing, monitoring, and business-critical alerts. Collaborated with BI, ML, and Finance stakeholders to define data requirements, ensuring alignment with business goals. Implemented data quality checks, observability dashboards, and alerting mechanisms to reduce downtime and improve reliability in production; participated in design reviews and mentored junior developers.

Associate Data Engineer at Accenture

December 1, 2021 - August 1, 2022

Developed and maintained ETL/ELT pipelines using Python, SQL, and Apache Spark, optimizing data workflows across cloud platforms. Built scalable dimensional data models (star/snowflake) supporting data warehousing initiatives in Snowflake. Integrated data from APIs and cloud storage into data lake and warehouse layers for analytics and reporting. Worked with Databricks to implement and monitor pipelines and job orchestration using Airflow and Azure Data Factory. Created Power BI dashboards for healthcare and regulated environments, and collaborated with cross-functional teams under Agile sprints while meeting compliance and governance needs.

Software Engineer at Nevina Infotech Pvt. Ltd

January 1, 2021 - December 1, 2021

Developed and deployed full-stack web applications using Angular (Node.js) for frontend and Python APIs (Flask/FastAPI) for backend services supporting analytics workflows. Integrated web applications with ETL pipelines, data lakes, and SQL-based data marts for real-time and batch analytics. Built UI components and dashboards with data analyst requirements and optimized MS SQL queries and stored procedures for performance in high-volume environments. Created API endpoints for serving pre-processed datasets to support self-service analytics (Power BI/Tableau). Maintained code quality with unit/integration testing and security test automation in CI/CD via GitHub Actions, managed Agile sprint work in Jira, and coordinated with product owners and engineers to align features with data strategy.