· Exercised 2.9+ years in BIG DATA domain (current) and 4+ years in BUSINESS INTELLIGENCE-DATA WAREHOUSE
domain, playing myriad roles such as TECHNICAL LEAD, TECHNICAL ARCHITECT, ETL Analyst, Developer and QA
Tester. Experienced at working in AGILE model and at managing entire SDLC along with effective resource
utilization
· Worked in coherence with global teams towards application design and architecture, technical requirement
elicitation, and research based PoCs
· Well versed with establishing governance model and providing governance. Drove Governance forums.
· Showcased mentoring and coaching capabilities at organizational level
· Expertise in designing, building and implementing applications using BIG DATA TECHNOLOGY STACK
· Broad-based experience in developing following: Map-Reduce applications, HIVE Query implementation, exposing
data through HIVE, PIG Scripting, Compression Techniques, PIG/HIVE UDF implementation, File processing, SQOOP,
HDFS, work-flow automation using Shell Scripting and AUTOSYS
· Detailed and implementation based exposure to Big-Data algorithmic concepts such as DISTRIBUTED CACHE, INMAPPER
COMBINING, SECONDARY SORT, COMPARATORS, MAP-SIDE JOIN, REDUCE-SIDE JOIN
· Hands-on exposure to GOOGLE ANALYTIC data extraction using BIG QUERY and GOOGLE CLOUD utilities
· Proficient in designing and implementing TERADATA based applications using stored procedures, macros, business
layer views, and load-unload utilities. Proficient at TD SQL Optimization techniques
· Extensive hands-on exposure to ETL tool- Ab Initio
· Exposure to GIT repository, Team Foundation server, AUTOSYS, HUE, IMPALA, SPARK and CAMEL
· Well versed with ETL concepts such as staging, reusability, DELTA processing, PARALLEL processing, SCD
· Understanding of DATA STRUCTURES and ALGORITHMS