- With 18+ years of IT experience, specializing in Data Engineering, Software Engineering, and Database Administration.
- 15+ years of experiences with writing SQL, stored functions, procedures, packages and SQL optimization.
- Possessing 5+ years of hands-on experience with Big Data technologies, including the Hadoop ecosystem (HDFS, Hive, Spark, Sqoop), AWS EMR, Google Cloud Dataproc, etc.
- Bringing 12+ years of expertise in ETL, Database Administration, and Software Development.
- Having 5+ years of working experiences with major public cloud like AWS, Google cloud and Azure.
- Having 4+ years of practical experience with DevOps tools like Jenkins, Git, GitLab, Docker, Kubernetes, CI/CD, Ansible, Terraform.
- Having 2+ years of working experiences with data science and machine learning.
- Having working experience with RDBMS (MySQL, PostgreSQL, MSSQL, Oracle) and NoSQL (MongoDB, Elasticsearch, Redis) databases.
- Designed and Developed data warehouse solution in Google Big Query, AWS Redshift and Snowflake.
- Worked on AWS Components like RDS, S3, EMR, Athena, Glue, EC2 and Google Cloud components Cloud SQL, Cloud Storage, Dataproc, Composer, Cloud function, Cloud Run and Compute Instance.
- Real time experience in Hadoop/Big Data related technology experience in Storage, Querying, Processing, and analysis of data.
- Knowledge in installing, configuring, and using Hadoop ecosystem components like HDFS, Hive, Sqoop, and Spark.
- Experienced in ETL (Extract, Transform, Load) and ELT design, development, and testing.
- Having experience with data migration, database migration and conversion, and database administration.
- Implemented database security, backup, capacity, and recovery plan
- Developed web and desktop applications using Microsoft .Net (C#, ASP.net, VB.net).
- Develop data scraping application.
- Worked with machine learning with LangChain and streamlit.
Programming:
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C#, Python, Scala, SQL, PL/SQL, T-SQL, PL/pgSQL, PHP, VB, ASP.NET
RDBMS:
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MySQL, MariaDB, Oracle, MSSQL, PostgreSQL, EnterpriseDB, DB2
NoSQL and Graph DB:
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1. MongoDB
2. Elasticsearch
3. Neo4j / Amazon Neptune
4. DynamoDB
5. Redis
Bigdata and Data Warehouse:
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1. Hbase
2. Google BigQuery
3. AWS Redshift
4. Apache Cassandra
5. Snowflake
6. Hadoop
7. Hive
8. Sqoop
9. Azure Synapse
Data Engineering:
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1. SSIS / Azure data factory (ADF)
2. Apache airflow / Google Composer
3. AWS Glue
4. Apache Spark
5. Azure Databricks
6. Azure Synapse
9. Apache Kafka
10. Jupyter Notebook
Data Science:
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1. Python [ Panda, Numpy]
2. Seaborn
3. scikit-learn
4. Matplotlib
5. Tensorflow
6. Kerus
Data Analyst:
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1. Power BI
2. AWS QuickSight
3. Google Data Studio
4. Tableau
Database Administration and Development:
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Install, configure and administration database server
Design and Implement real time database replication and clustering
Design and Implement data warehouse solution
Database load balancing
Database backup and recovery
Database performance tuning and optimization
Database Migration
SQL Optimization
Creating procedure, functions, triggers and packages
Web Application Development:
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ASP.net, C#, HTML, CSS, Java Script, Ajax, Jquery, PHP, Entity Framework, Crystal Report, Microsoft Reporting
Desktop Application Development:
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VBA, VB6, VB.net, C#, Crystal Report, Microsoft Reporting
Application Server, Middle-ware, and Load Balancer:
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IIS, Apache Tomcat, HaProxy, PgPool-II, ProxySQL, Nginx
Public Cloud :
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Google Cloud, AWS, Azure and Oracle cloud.
Operating System:
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Redhat, Centos, Ubuntu, Mac, Windows
DevOps :
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Ansible, Bash Shell, Power Shell, Jenkins, Terraform, GitLab CI/CD, GitHub, Docker, Kubernetes
ERP and CRM:
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Microsoft Dynamic Great Plan (GP)
Microsoft Dynamic CRM
Customized ERP
Project Management:
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Certified Project Management Professional (PMP)
Agile Scrum Master (SMC certified )
Documentation:
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Having experience in writing technical documents.
- Software Requirement Specification (SRS)
- Software Design Document (SDD)
- Unit Test Cases
- Software Deployment and Training Manual