Avinash K.

CTO

West Delhi, Delhi, India18 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in database internals and cloud computing.
Proven leadership in engineering management roles.
Strong background in query optimization and distributed systems.

Stackforce AI infers this person is a Database and Cloud Computing Expert with strong engineering management experience.

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Skills

Core Skills

DatabasesQuery OptimizationData Warehousing

Other Skills

SQL/MXDBMS Query ExecutorDBMS Query OptimizerDBMS query optimizationAsymmetric Massively Parallel ProcessingLinuxUnixDistributed SystemsSQLC++CShell ScriptingSoftware DevelopmentWindowsUnix Shell Scripting

About

Domain:- Database Internals, Cloud Computing, Distributed Systems Specialties: C/C++, Java, PostgreSQL Internals, SQL/MX Internals, Linux programming and Internals, Web Services, Microservices, Cloud Computing, AWS

Experience

18 yrs

Total Experience

4 yrs

Average Tenure

11 yrs 2 mos

Current Experience

Adobe

5 roles

Group Engineering Manager

Promoted

Feb 2024 – Present · 2 yrs 3 mos

Senior Engineering Manager

Feb 2021 – Feb 2024 · 3 yrs

Engineering Manager III

Promoted

Feb 2018 – Jan 2021 · 2 yrs 11 mos

Engineering Manager II

Feb 2017 – Jan 2018 · 11 mos

Computer Scientist

Dec 2014 – Jan 2017 · 2 yrs 1 mo

Amazon

Software Development Engineer

Sep 2013 – Nov 2014 · 1 yr 2 mos · Bengaluru Area, India

Hewlett-packard

SDE II

Oct 2010 – Sep 2013 · 2 yrs 11 mos · Bengaluru Area, India

Designing and implementing various optimization and better execution techniques of queries on Non-Stop Tandem platform.
The work also involves maintenance and enhancement for latest version of SQL/MX.
Working in DBMS Query Executor and Optimizer area.

SQL/MXDBMS Query ExecutorDBMS Query OptimizerDatabasesQuery Optimization

Persistent systems

Software Developer

Jan 2008 – Oct 2010 · 2 yrs 9 mos · Pune Area, India

Worked in world’s leading technology AMPP (Asymmetric Massively Parallel Processing) System of Netezza used for data-warehouse system.
Worked in DBMS query optimization and execution area (buffer and lock management).

DBMS query optimizationAsymmetric Massively Parallel ProcessingDatabasesData Warehousing