• Network security support• Implementing Firewall (Palo Alto, Cisco ASDM) related changes to client’s service requests• Audit security policies on all corporate firewalls• Engage Network Security SMEs and Information Security Team on all policies applied to firewalls• Responsible for Pre and Post network security device roll-out and management.• Designed and implemented scalable and efficient data pipelines using technologies such as Apache Spark, Apache Airflow, reducing… Show more • Network security support• Implementing Firewall (Palo Alto, Cisco ASDM) related changes to client’s service requests• Audit security policies on all corporate firewalls• Engage Network Security SMEs and Information Security Team on all policies applied to firewalls• Responsible for Pre and Post network security device roll-out and management.• Designed and implemented scalable and efficient data pipelines using technologies such as Apache Spark, Apache Airflow, reducing data processing time by 30%.• Developed ETL processes to extract, transform, and load structured and unstructured data from various sources into data lakes and data warehouses (e.g., Redshift, Snowflake).• Implemented data quality checks and monitoring solutions to ensure data accuracy, consistency, and completeness.• Collaborated with data scientists and analysts to understand data requirements and optimize data models and schemas for analytics and reporting purposes.• Managed and optimized databases (SQL and NoSQL) to support data storage and retrieval needs, ensuring high performance and availability. • Assisted in designing and building data pipelines for real-time data ingestion and processing using Kafka and Apache Flink.• Conducted performance tuning and optimization of SQL queries and database schemas to improve query execution times and overall system efficiency.• Created data visualization dashboards using tools such as Tableau and Power BI to provide insights into key business metrics. Show less

• Evaluated workflow and efficiency of data pipeline that processed 250GB+ of data daily • Assisted in crating data pipelines using Apache tools that led to process optimization increase of about 47% and 25% increase in annual revenue • Resolved ETL issues using SQL best practices to increase overall efficiency with the introduction of relational databases to improve database storage and retrieval by 82%• Co-developed an SQL server database system to maximize performance benefits… Show more • Evaluated workflow and efficiency of data pipeline that processed 250GB+ of data daily • Assisted in crating data pipelines using Apache tools that led to process optimization increase of about 47% and 25% increase in annual revenue • Resolved ETL issues using SQL best practices to increase overall efficiency with the introduction of relational databases to improve database storage and retrieval by 82%• Co-developed an SQL server database system to maximize performance benefits for our 10,000+ customer base • Designed and tested SQL-driven applications from the scratch • Reorganized codebase with over 2000+ lines of code • Resolved network, hardware, software database related issues through our in-house support system • Identified and fixed the root cause of database performance issues that slowed processing time from 10+ to 60 seconds, was able to mitigate latency issues • Developed 20+ scalable databases capable of ETL processes using SQL and Spark • Created NoSQL databases that harvest data from 200+ sources using Mongo DB • Reengineered a server application with transaction processing functionality to handle 5k+ simultaneous requests • Developed queries and shell scripts that enable field teams to view performance data on mobile devices Show less

Analyzed large datasets using SQL, Python, and R to extract meaningful insights and trends, contributing to a 20% increase in operational efficiency.• Created interactive dashboards and reports using Tableau and Power BI to visualize data and communicate findings to stakeholders effectively.• Conducted statistical analysis and hypothesis testing to support business decisions and validate data-driven strategies.• Collaborated with cross-functional teams to gather requirements and… Show more Analyzed large datasets using SQL, Python, and R to extract meaningful insights and trends, contributing to a 20% increase in operational efficiency.• Created interactive dashboards and reports using Tableau and Power BI to visualize data and communicate findings to stakeholders effectively.• Conducted statistical analysis and hypothesis testing to support business decisions and validate data-driven strategies.• Collaborated with cross-functional teams to gather requirements and define key performance indicators (KPIs) for business metrics.• Automated data collection processes and improved data quality by implementing data cleansing and validation procedures.• Assisted in data cleaning, transformation, and loading processes using ETL tools and techniques.• Conducted exploratory data analysis (EDA) to identify patterns and trends in customer behavior data, leading to actionable insights for marketing campaigns.• Developed and maintained data documentation and metadata to ensure data integrity and accessibility.• Setup B2B VPN connection with third party partners. Show less