Rohit Malik

Angestellt, Senior GenAI / Data / Applied AI Engineer | Databricks | LLM & Search Systems, National Australia Bank
Berlin, Germany

Skills

Projektmanagement
Teamfähigkeit
Zuverlässigkeit
Qualitätsmanagement
Engagement
Softwareentwicklung
Kommunikationsfähigkeit
Python
SQL
pyspark
AWS
azure
azure data factory
databricks
Docker
airflow
Kubernetes
kinesis
ETL
Big Data
Data Warehouse
Computer Science
English Language
Apache Spark
Apache Kafka
ability to work under pressure
attention to detail
Scala
Data Science
Management
GenAi
Rag
Git
Database
PostgreSQL
Python pandas
MySQL
NumPy
PL/SQL
senior data engineer
big data
Data Engineering
Microsoft Azure
Databricks
Cloud Data Platform
PySpark
Kafka
Spark Structured Streaming
Delta Lake
Data Lake
Data Warehousing
Apache Airflow
Medallion Architecture
ETL Pipelines
Streaming Pipelines
Applied AI Engineering
Generative AI (LLMs)
Retrieval-Augmented Generation (RAG)
Semantic Search & Vector Retrieval

Timeline

Professional experience for Rohit Malik

  • Current 2 years and 11 months, since Jun 2023

    Senior GenAI / Data / Applied AI Engineer | Databricks | LLM & Search Systems

    National Australia Bank

    Designed and implemented LLM-based investigative search systems operating over 500M+ records Built document intelligence pipelines for structured entity extraction from legal documents Implemented semantic search and vector-based retrieval for identity matching Designed SCD Type 2 data models ensuring historical correctness and auditability Delivered production AI systems with role-based access control and compliance constraints

  • 10 months, Aug 2022 - May 2023

    Data Engineer (AI Foundations)

    Mindrops Solutions Pvt. Ltd.

    Designed scalable data pipelines using Databricks, PySpark, and SQL to support analytics and downstream AI workloads Orchestrated workflows using Apache Airflow, improving data delivery timelines Built curated, high-quality datasets used for search and ML experimentation Improved data accuracy and consistency through validation and reconciliation Supported data platforms used by international clients

  • 1 year and 11 months, Oct 2020 - Aug 2022

    Systems Engineer

    Tata Consultancy Services

    Built robust data processing pipelines using AWS Glue, PySpark, and Databricks Integrated multiple heterogeneous source systems into centralised datasets Designed structured data models to support analytics and early AI initiatives Developed reusable ETL frameworks and documentation to improve maintainability Mentored junior engineers on data engineering best practices

Languages

  • English

    C1 (Fluent)

  • French

    A1-A2 (Basic)

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