Cloud Data Engineer

Building scalable cloud data solutions across AWS and Microsoft Azure.

Cloud Data Engineer with 5+ years of software industry experience and 2+ years of cloud expertise across AWS and Microsoft Azure, specializing in building scalable data pipelines using Databricks, Spark, SQL, and Python.

5+ Years in software
2+ Years in cloud
AWS Azure · Databricks
Portrait of Sai Karthik Alla

Sai Karthik Alla

Cloud Data Engineer focused on data pipelines, lakehouse architectures, and cloud-native analytics.

  • AWS
  • Microsoft Azure
  • Databricks
  • Apache Spark

Professional summary

I hold a Master’s degree from Eastern Illinois University and bring hands-on experience in designing cloud-based data solutions. My work centers on building end-to-end pipelines, processing large-scale datasets with Apache Spark, and implementing modern data lake and lakehouse architectures.

I have worked with AWS services such as S3, Glue, Redshift, and Lambda, along with Azure technologies including Azure Databricks and Data Lake Storage, focusing on efficient data ingestion, transformation, and analytics.

Core strengths

  • Designing and implementing ETL/ELT pipelines
  • Building scalable data pipelines using Spark and Databricks
  • Working with structured and semi-structured data like CSV, JSON, and Parquet
  • Cloud data engineering across AWS and Azure
  • Data modeling and data warehousing concepts

Technical expertise

Cloud Platforms

AWS Microsoft Azure

Data Engineering

Data Pipelines ETL / ELT Data Modeling Data Warehousing

Processing & Analytics

Databricks Apache Spark Delta Lake PySpark

Languages & Services

SQL Python Amazon S3 AWS Glue Amazon Redshift AWS Lambda Azure Data Lake Storage CSV · JSON · Parquet

Academic background

B.Tech

Vignan's Lara Institute of Technology and Science

Completed undergraduate studies with a strong focus on engineering fundamentals and software development.

Verified credentials

AWS

AWS Certified Data Engineer – Associate

Focused on building, managing, and optimizing cloud data pipelines and analytics workflows.

Microsoft

Azure Databricks Data Engineer Associate

Validates Spark-based data engineering and optimized workloads in Azure Databricks.

Let’s connect

If you’re hiring for cloud data engineering roles or would like to discuss data platforms, analytics, and cloud-native pipelines, feel free to reach out.