Associate IT Consultant Resume

SUMMARY:

IT professional with strong problem solving and analytical capabilities. Have technical vision and actively engages in understanding customer requirements. Result oriented person, who skillfully balances between meeting resource and time constraints.
A result oriented professional with 13+ years’ experience in:
Delivery Management - Requirement Definition & Management- Client Management Technology Roadmap- Project Set up and Stabilization - STB Testing Team Building, Mentoring & Evaluation- Planning & Operations- Service Delivery
Extensive experience in managing & delivering projects, conducting business analysis to determine requirements and planning for systems implementation at the enterprise scale
Demonstrated success in leading, motivating and mentoring cross-functional teams in multi-cultural and multi-facility environments in order to maximize levels of productivity
Expertise in Ericsson Media Room IPTV
Technical Skills & knowledge in Big Data Hadoop Development
Working with du IPTV Operations & Core Service delivery team
Priorities the requirements from the business and other stack holders as well as the customer escalation.
Supports for the day to day activities, achieving the SLA/KPI
Ericsson Media room, VOD Management, ATP, OBI, Acquisition, Distribution
Conducting ATP for STB/Mediaroom servers/services, OTT services
Working on OTT multi screen
Working on EPG SeaChange applications - EPG Stages & Spectris
Working with SQL DBs of OBI DB, BRDB, AVDB, and AGDB for report generation.
Worked with the project of platform upgrade to MR client 2.3 SP1, STB client upgrade from 2.3 to 2.6 and Catch-up TV
Working for SQL availability groups, SQL migration process and database migration.
Working for Branch in CLFC, CLGW, SVFC, BSFC, Branch DB
IIS services, Application pools, Backend SMT, Service Management Tools
Configuring new live channels, VOD asset deployment
Works in DHCP, DNS, SYNC and NTP technology.
Catchup TV services of Restart Any Time & Live Any Time
Troubleshooting platform issues, customer related live TV service issues.
STB client upgrade, CTL & wire shark trace logs & analysis
Deploying STB s SKI chain for CLFC servers by using RDP jobs
Integration of Reporting with Data Ware House (DWH).
Moving Reporting Framework into Mediaroom Domain.
Experience in network management, communication protocols (IP, TCP-IP, UDP), digital video protocols, UDP, Multicasting, Unicasting
Working with Multiscreen OTT for live TV & VOD
Working New EPG solution STAGIS & SPECTRIS
Working with new VOD store MDS, common DB, caching & frontend servers
Currently working with Watch4Net for IPTV platform & availability monitoring and reporting.
Currently working with BRIXVISION PROBES solution for Stream level, SDP level, STR level and A server out services monitoring and reporting.
Currently working with SQM (Services Quality Management) for services availability based on the A, D, V, IIS services and reporting.
Simulating customer issues on our test bed, providing necessary solution and fixing the issues.
Working for Cisco DCM, VSM & NMS
Working 4K solutions
Hadoop Developer in Analysis, Design, Development, Implementation and software applications which includes Big Data usingHadoop HDFS, Hive, PIG, HBase, Sqoop, Flume and MapReduce Programing.
Excellent understanding on Hadoop Architecture viz HDFS, Name node, Secondary node, Data node, Job Tracker, Task Tracker
Experience in MapReduce programming in Hadoop Ecosystem viz Hive, PIG, HBase
Knowledge in Cloudera Hadoop tool v 5.0
Analyzing data using HiveQL, PIG Latin, and custom MapReduce programs in Java.
Importing and exporting data from different databases like Oracle, Teradata into HDFS and Hive using Sqoop.
Strong experience in collecting and storing stream data like log data in HDFS using Apache Flume.
Experienced with working MapReduce Design Patterns to solve complex MapReduce programs.
Wrote Hive and PIG queries for data analysis to meet the business requirements.
Involved in creating tables, partitioning, bucketing of table and creating UDF's in Hive.
Experience with Hive Queries Performance Tuning.
Well experienced with implementing Join operations using PIG Latin.
Involved in writing data transformations, data cleansing using PIG operations.
Extensive knowledge in NoSQL databases like HBase.

TECHNICAL SKILLS:

Big Data Hadoop: In-Depth knowledge/experience in design, development of Big Data POCs that perform Distributed Data Processing/Analytics using HDFS, Spark, MapReduce, Hadoop, Hive, Impala, HBase, HDFS, YARN, Avro, Parquet, Sqoop, Flume, Oozie and Big Data ecosystem tools.

Big Data Technologies: - Spark, Akka, Hadoop, Hive, Pig, MapReduce, Sqoop, Kafka, Oozie

File Formats: - Avro, Parquet

Programming Languages: -- SQL

Database Technologies: -- HBase/MySQL

Specialties: -- Database & AnalyticsBuilding Big Data Frameworks, Solutions and Algorithms with Hadoop and related technologies. These include

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