Data Engineering

Results-driven Data Engineer with over 10 years of experience designing, building, and optimizing data systems, ETL pipelines, API integrations, and automation workflows. Proven expertise in developing scalable data architectures, real-time data processing, and ensuring data quality, integrity, and security. Passionate about leveraging cutting-edge technologies to drive efficiency, automation, and data-driven decision-making.

Core Skills & Expertise

  1. Data Engineering & Architecture – Designing and implementing scalable data pipelines, ETL/ELT workflows, and data lakes/warehouses (AWS Redshift, Snowflake, BigQuery).
  2. API Integration & Automation – Seamless integration of third-party APIs, data ingestion, and workflow automation using Python, Airflow, and cloud services.
  3. ETL & Data Pipelines – Developing efficient batch and real-time data pipelines using Apache Airflow, Apache Spark, dbt, and SQL.
  4. Database Management – Experience with relational (PostgreSQL, MySQL, MSSQL) and NoSQL (MongoDB, DynamoDB) databases.
  5. Cloud & DevOps – Deploying and managing data infrastructure on AWS, GCP, and Azure with CI/CD pipelines, containerization (Docker, Kubernetes), and Infrastructure-as-Code (Terraform).
  6. Big Data & Streaming – Expertise in processing large-scale data using Kafka, Spark Streaming, Flink, and AWS Kinesis.
  7. Data Governance & Security – Implementing data quality, lineage, and compliance (GDPR, HIPAA) best practices.

Notable Projects

  1. Built a scalable ETL pipeline to process millions of records daily, improving data processing time by 60%.
  2. Integrated multiple third-party APIs to automate data ingestion and reporting, reducing manual work by 80%.
  3. Designed a data lake architecture on AWS S3 with Glue and Athena for real-time analytics.
  4. Automated data workflows with Apache Airflow, reducing data pipeline failures by 40%.
  5. Led the migration of legacy SQL-based ETL processes to a modern, cloud-native data platform.

Tech Stack

  • Programming: Python, SQL, Java, Scala
  • Data Processing: Apache Spark, Pandas, dbt, Airflow
  • Databases: PostgreSQL, MySQL, MongoDB, DynamoDB
  • Cloud & DevOps: AWS (Glue, Redshift, Lambda), GCP (BigQuery, Dataflow), Azure
  • Big Data & Streaming: Kafka, Spark Streaming, Flink
  • APIs & Automation: REST, GraphQL, FastAPI, Celery
  • CI/CD & Orchestration: Docker, Kubernetes, Terraform

Ready to Evolve? Let’s Build the Future Together

Let us work on your data today

Get a Quote
Scroll to Top