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Senior Data Engineer building and supporting enterprise data infrastructure using PySpark, AWS (Glue, Lambda, S3, Redshift), and Apache Airflow, with production operations and team mentorship responsibilities.
GCP Data Engineer at TCS Chennai responsible for developing, deploying, monitoring, and optimizing batch ETL workflows using Scala, PySpark, Airflow, BigQuery, and Dataproc on GCP with Medallion architecture experience.
Design and develop data pipelines and architectures using AWS, Databricks, PySpark, Kafka, and Airflow, working with SQL/NoSQL databases, shell scripting, and data integration techniques in complex, deadline-driven projects.
GCP Data Engineer at TCS responsible for building and maintaining data pipeline architecture using BigQuery, Pub/Sub, Dataflow, and Airflow, with strong SQL and Python skills for data migration and transformation.
GCP Data Engineer building scalable, AI-ready data pipelines and cloud-native data solutions on Google Cloud Platform, collaborating with enterprise architects and analytics teams on large-scale data modernization initiatives.
Senior Data Engineer building and optimizing batch and streaming ETL workflows on GCP using Scala, Spark, Kafka, Airflow, and Dataproc within TCS's Data & Analytics unit.
Hands-on Solutions Architect role designing and building enterprise-grade data platforms on GCP/AWS using Snowflake, Databricks, BigQuery, Airflow, and Kafka to power AI/ML initiatives, with pre-sales responsibilities at a tech consultancy in Bangalore.
Freelance Senior Data Engineer building and maintaining Python-based ETL pipelines and cloud data models to support an eCrime defense team's threat detection and investigation efforts.
Data Engineer building and optimizing Big Data pipelines with PySpark, Apache Spark, Airflow, and Python, including Spark performance tuning and CI/CD integration on cloud platforms (GCP preferred).
Design, develop, and maintain scalable batch and streaming data engineering solutions on AWS using Python, PySpark, Databricks, Kafka, and Airflow, while leading technical discussions and supporting production platforms.
GCP Data Engineer responsible for designing, building, and maintaining scalable data pipelines, data warehouses, and big data solutions on Google Cloud using Dataflow, BigQuery, Cloud Composer, and related GCP services.
Senior Data Engineer at Milo.ai building a data platform for AI agents—pipeline infrastructure, semantic models, and DAG-based orchestration—using Python, dbt, Dagster/Airflow, and columnar storage engines like ClickHouse/DuckDB. On-site in London with visa and relocation sponsorship.
Lead an AWS-based data platform—designing metadata-driven ingestion pipelines from S3 through Redshift, owning orchestration in Airflow, governance via Lake Formation, and mentoring engineers—using AWS, Python, SQL, and Airflow.
Data Engineering Consultant at Infosys Consulting, designing and developing data pipelines using Python/PySpark on AWS within the Automation & AI Consulting Practice, collaborating with AI consultants and stakeholders across client engagements.
Senior Data Engineer designing and maintaining real-time and batch data pipelines for SMC Global Securities' financial services and trading platforms, using SQL, Python, AWS (S3, Redshift, Athena, Glue, EMR, Lambda), Airflow, DBT, and Spark within Data Lakehouse architectures.
Data Engineer building and optimizing ETL/ELT pipelines with SQL and Python to create analytics-ready datasets for the Analytics team.
Design, build, and maintain the analytics data layer—pipelines (Airflow), warehouse (BigQuery), and ETL—on GCP, applying software engineering best practices to deliver BI solutions.
Tech Lead / SDE IV owning batch and real-time data pipelines for a programmatic advertising DSP, processing billions of bid-stream events daily with Kafka, Flink, StarRocks, and Python/Java/Scala, while also architecting backend microservices and mentoring engineers.
Senior Data Engineer designing and maintaining Snowflake-based ETL/ELT pipelines with SnapLogic and dbt, working US hours from Hyderabad.
Senior Data Engineer building real-time data ingestion/processing pipelines and large-scale enterprise data solutions using PySpark, Python, Airflow, SQL, and AWS big data services.
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