Biltu Maji

DevOps Engineer

Bengaluru, Karnataka, India7 yrs 1 mo experience

Highly StableAI Enabled

Key Highlights

Expert in AI-enabled compliance and security dashboards.
Strong background in Big Data and data engineering.
Proven ability to automate complex data flows.

Stackforce AI infers this person is a Data Engineering expert in AI and Big Data solutions.

Contact

Skills

Core Skills

Ai AgentsData EngineeringData IngestionData AnalysisData AutomationData TransformationPipeline Design

Other Skills

Python (Programming Language)Azure SQLApache ArrowStreamingApache NiFiPysparkAWS GlueAmazon RedshiftAzure CloudInformatica CloudPythonBig Data FrameworkHadoopModel Context Protocol (MCP)OCI

About

Currently working at Oracle, I specialize in building AI Enabled compliance and security dashboards that provide a unified, real-time view of security and compliance issues. My work focuses on enabling faster detection, visibility, and resolution of risks across complex environments. I have strong expertise in Oracle infrastructure, along with hands-on experience in internal deployment tools within multi-realm environments. With a solid background in Big Data, ETL/ELT pipelines, data ingestion, and data streaming, I bring a data-driven approach to problem-solving. I am a quick learner who adapts rapidly to new technologies and thrive both in collaborative team settings and independent roles.

Experience

7 yrs 1 mo

Total Experience

5 yrs 11 mos

Average Tenure

1 yr 2 mos

Current Experience

Oracle

Senior Member of Technical Staff

Apr 2025 – Present · 1 yr 2 mos · Bengaluru · Remote

I specialize in building AI Agent enabled with MCP Integration ,compliance and security dashboards that provide a unified, real-time view of security and compliance issues. My work focuses on enabling faster detection, visibility, and resolution of risks across complex environments.
I have strong expertise in Oracle infrastructure, along with hands-on experience in internal deployment tools within multi-realm environments.
With a solid background in Big Data, ETL/ELT pipelines, data ingestion, and data streaming, I bring a data-driven approach to problem-solving. I am a quick learner who adapts rapidly to new technologies and thrive both in collaborative team settings and independent roles.

Python (Programming Language)Data EngineeringAI Agents

Infosys

3 roles

Specialist Programmer L2

Oct 2021 – Mar 2025 · 3 yrs 5 mos

Worked For FIFA Project.
Responsible for Data Ingestion and Streaming of Periodic Data and Live Match data Ingestion and Analysis.
Contributed to and Developed Metadata Driven Framework.
Managed Code Release Processes with code review.
Worked Data Ingestion for API, Databases, and Streaming Live Data from Sources.
Worked in Data Warehouse, Lake House like Snowflake.
Technology Used: ELT, Pyspark, Python, API, Apache NiFi, Azure DevOps, ADLS, AKS, KeyVaults, Snowflake, Postgres, Spark Streaming, Kafka, Apache Flink
Worked For Xerox Fittle Project.
Automated Data Flow using Aws Glue(PySpark), Aws Redshift, and Aws S3, with complex JSON parsing on Examination Data and Employee Tracking and Analysis, to generate examination scores and selection process and employee effort and presence in work.
Developed Complex DataTransformation Examples Pvalue, Percentile Rank, Total Score, N_Count, Bi-serial, Correlation, etc to solve client needs.
Managed Code build and Deployment performed by Jenkins for auto code build and deployment.
Managed different SQL operations and query examples joining, ranking, and indexing.
Technology Used: Amazon Redshift, Amazon S3, AWS Glue, PySpark, AWS Lambda, Apache Arrow, AWS Schedule, AWS Step Function, Jenkins, Jira, Bitbucket,DataBricks

Azure SQLApache ArrowData IngestionData Analysis

Specialist Programmer

Jul 2019 – Sep 2021 · 2 yrs 2 mos

Worked For Adecco Group. Project.
Acted Lead Data analysis and Pipeline Design and Framework Development. on Humen Resource Data.
Orchestrating data flow which will reduce operation and maintenance costs by 55%.
Worked with Different Complex sources like API, Common Data Models, Semi-Structured Data, and Targets with complex data transformations with the help of Custom Python, Java Code, and ETL Tools.
Developed ADF Metadata Driven Framework which can create or update tables.
Technology Used: Azure Cloud, Ampq, Adls, Informatica Cloud, Azure DataFactory, Python, Java, Unix Script, ReST API, MsSql, PostgreSQL, DevOps.
Worked For BHP Billiton.
Acted as Data analysis and Pipeline Design and Development.
Automated more than 200 flows which reduced operation and maintenance costs by 35%.
Processed Complex pipelines like POP3, and API source with the help of custom Python, PySpark, and Batch Script.
Technology Used: Big Data Framework: Hadoop, PySpark, Kafka, Sap Data Services, Ogg, Python, Unix Script, MySQL, Hive, Oracle, Rundeck, Cloudera, AWS, Agile