I will build real time data pipelines with apache kafka, spark and aws

India

I speak English

Data Engineer

I am a results-driven Data Engineer with over 5 years of experience in Big Data, AWS, and technical leadership. I specialize in designing large-scale cloud-native pipelines and data lake architectures...
About this Gig

PIPELINES THAT SURVIVE PRODUCTION, NOT JUST THE DEMO.


I build batch and streaming data pipelines that run every day without someone babysitting them.


WHAT I DELIVER

- Streaming ingestion: Kafka, Kinesis, RabbitMQ, NiFi, CDC from your database

- PySpark / Spark SQL transformations, tuned - not the default config

- Data lake on S3 with Apache Iceberg: schema evolution, time travel, MERGE upserts

- Warehouse loads into Redshift, Snowflake, Athena or BigQuery

- SCD Type 2 history, deduplication, idempotent re-runs, late-arriving data handling

- Airflow DAGs, retries, alerting and CloudWatch/Grafana dashboards

- CI/CD, tests and documentation so the thing is maintainable


TRACK RECORD

3.5+ years on a European telecom's streaming platform: 100+ production pipelines, 0.6 TB/day (18 TB/month), millions of users across 8 countries. 50%+ compute time cut across 100+ PySpark jobs. 60% fewer job failures. 99.9%+ uptime.


I also migrated a Redshift workload to Apache Iceberg: 40%+ faster queries at lower spend.


Send me your source, your destination and your volume. You'll get a fixed scope and a real timeline before you order.


Langugae:

English

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German

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Hindi

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Slovenian

Technical expertise:

Apache NiFi

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Apache Airflow

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Apache Spark

Expertise:

Data Pipelines

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ETL Development

Industry:

Audio & video

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Data analytics

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Financial services

My Portfolio