Technology Lead Resume

PROFESSIONAL SUMMARY:

A data engineering, Big Data and software development expert with 13+ years of experience in the manufacturing, banking, Healthcare, Knowledge Management and services industries. A collaborative developer and engineer with experience and in the Data Engineering, Big Data and Business Intelligence sides of technology who thrives on discovery and accelerating performance.

AREAS OF FUNCTIONAL EXPERTISE:

Big Data, Data Engineering and Data Analysis
Azure and Confidential Technologies Expertise
Systems Design and Architecture
Programming in C#, Python and SQL
Technical Troubleshooting and Debugging
Strong Problem solving and Documentation

TECHNICAL SKILLS:

Coding languages: C# (Advanced), SQL (Advanced), Python (Intermediate)

Software Packages / Tools: HTML, CSS, JavaScript, MSBI (SSRS, SSIS and SSAS Tabular), Big Data technologies, MPP systems (PDW), COSMOS, Kusto, Power BI, Azure, CI & CD, GIT, Visual Studio and MS Office Suite

Hadoop Stack: Zookeeper, Oozie, Drill, Presto, Zeppelin, YARN, Mesos, Tez, HDFS, HBase, MapReduce, Hive, Pig, Spark Scala, Storm, Kafka, Flume, Sqoop, Hue and Ambari.

PROFESSIONAL EXPERIENCE:

Confidential

Technology Lead

Responsibilities:

Analyzes requirements, designs systems architectures, and develops software for big data systems and business intelligence solutions.
Extensively designed/developed solutions involving Cloud Migration, IaaS VMs, Azure Data Factory (ADF), Azure SQL Data Warehouse (ADW) and Azure SQL DBs for cloud migration and Data processing / Transformation activities.
Have very good exposure on offerings such as Azure Application Insights, Azure Active Directory (AAD), Web jobs, Azure Storage, VM/Database usage optimization, etc.,
Used advanced data techniques in data modeling, integration, visualization, database design and implementation. Created and Maintained the Logical data models (LDM), Physical Data Models (PDM), OLTP and Analytical systems. Designed and developed applications using Hadoop technology stack. (Using Zookeeper, Oozie, HDFS, HBase, MapReduce, Hive, Pig, Spark (Spark SQL and Streaming), Storm, Kafka, Sqoop and Cassandra DB).
Created the system architecture for RDBMS systems and Hadoop stack; proposed and implemented the design involving heterogenous upstream and downstream data sources. Designed the ETL Orchestration framework for more than 200 critical feeds using SSIS / custom connectors.
Extensively used Performance Optimization best practices for making database healthy and provide optimal performance including partitioning, Buffer Sizing, Threading and Indexing strategy.

Confidential

Senior BI Developer\Data Modeler\ Data Engineer

Responsibilities:

Designed and Worked on MS - SSIS / SSRS / SSAS, Azure and Power BI technologies for end to end business requirements on a DWH target system, expert in writing complex SQL query, function and stored procedure to perform specific tasks.
Designed and implemented data pipelines and workflows for data flow / transformations between on-prem systems to Azure systems.
Participated in the Business and Specifications requirements gathering sessions and convert it into Design specifications. The Design specifications range from High Level Design to Application level designs. Created and Maintained the Logical data models (LDM), Physical data Models (PDM).
Have successfully done lot of performance optimizations and fine tunings on the stored procedures and other custom modules that work as data pipelines and transformation activities.

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