Looking for Data Engineering, AI/ML and DevOps work
For details resume mail me.
Overview
I have a sound experience of design & development of Big Data Application and Solution on AWS/Azure/GCP Public cloud as well as in-house data center by using open source Hadoop, Map-Reduce, Pig, Hive, HBase, R, Linux System, Core Java, Spark, Scala and Python. As an Architect, my expertise lies in building loosely coupled components that scale out horizontally to address the exponential data growth in terms of volume as well as velocity. I have developed a metadata-driven unique transformation framework, which can successfully replace traditional ETL tool in EDW world. I am working on Big Data Analytics (Market Modeling, SADM, NLP Classifiers for Spam filtering, Sentimental Analysis) and cloud computing since last 7 years. Last two years I am working on Hortonworks/Cloudera Hadoop GCP BigQuery and open source analytics tools like R, Spark/Scala.
Education
MBA (Finance), Master of Computer Application
Experience
Total 22 years of experience working with organizations like
1. IBM Software Lab
2. Hortonworks Data Platform
3. Wipro Technologies
Certification
1. HDPCA (Hortonworks)
2. ITIL v2 Foundation
3. Python for Data Science (IBM)
4. Google Cloud Architect
5. Google Cloud Data Engineer
6. Advance Data Analytics with R (NPTEL)
Project Related to Big data (13 years’ experience)
1. Big data Platform Engineering for large production systems of 1000 nodes cluster.
2. Multi-tenancy and role-based access control (ranger) Security (Knox, Kerberos) on Data Lake (Hortonworks).
3. Spark/Scala programming for IoT operational data for Digital Datahub on AWS with Cloudera Hadoop
4. Retail Data Analytics on Hadoop (HDP) using Spark, Zeppelin, R.
5. Enterprise Data Warehouse (EDW) in Big Data Eco System using Hive.
6. ETL on Spark/Scala, Spark SQL using AWS EMR.
7. Integration of Tableau, SAS, R with Hadoop for Visualization
8. Migration of traditional EDW to AWS cloud using EMR, Redshift.
9. Hive query optimization on Hive2/Tez to gain 40% performance.
Project Related to AI/ML (10 years’ experience)
1. HP Billiton, Australia. (Live4D, Truck360) NiFi, PySpark, H2O Machine learning HBase. D3, Data Lake using HDP.
2. Product Price Analysis to detect fraud in product catalog. (random forest model)
3. Enhanced Service-Matters with Google Gemini LLM
4. Smart Contract Management Framework (Gen AI )
5. Google IVN Solution using Big Query, VertexAI, CRM/CDP and Denodo (data virtualization), Looker
Work Terms
Open
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