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Gatik MisraGM
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Gatik Misra

@gatikmisra

Data Engineer building real-time Azure Databricks pipelines with Apache Spark & Kafka.

India
Message

What I'm looking for

I’m looking to build and optimize real-time, cloud-native data pipelines on Azure Databricks and Spark—prioritizing SLA reliability, low-latency streaming, strong data quality, and clean CI/CD delivery within Agile teams.

I’m a Data Engineer with 3.5+ years building and optimizing large-scale data pipelines on Azure Databricks and Apache Spark in a global IT consulting delivery environment. I focus on ETL/ELT development, real-time streaming, and data lakehouse design to turn raw events into reliable, analysis-ready data.

In my current role, I developed scalable pipelines using PySpark and Python on Azure Databricks and Azure Data Factory, processing 1TB+ of structured and semi-structured data monthly. I built near real-time ingestion using Apache Kafka / Azure Event Hub and Databricks Structured Streaming, reducing data latency from 30 minutes to under 5 minutes.

I also migrated legacy batch workflows to a cloud-native, event-driven Data Lakehouse architecture using Delta Lake and the Medallion Architecture, cutting end-to-end latency by 83%. I optimize for outcomes—improving SLA reliability from 94% to 99.7%, reducing processing time by 40%, and enforcing PySpark-based data quality and validation frameworks that reduced data errors by 90%.

Experience

Work history, roles, and key accomplishments

AT
Current

Data Engineer

Accenture Technologies

Nov 2022 - Present (3 years 8 months)

Built and maintained scalable ETL/ELT data pipelines on Azure Databricks and Azure Data Factory using PySpark and Python, processing 1TB+ of data monthly. Delivered near real-time ingestion and migrated to an event-driven Delta Lake data lakehouse, reducing latency by 83% and improving SLA reliability from 94% to 99.7%.

Education

Degrees, certifications, and relevant coursework

ST

Sikkim Manipal Institute of Technology

Bachelor of Technology, Computer Science Engineering

2018 - 2022

Grade: CGPA: 9.40/10.0

Completed a B.Tech in Computer Science Engineering at Sikkim Manipal Institute of Technology from 2018–2022, achieving a CGPA of 9.40/10.0.

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