1. Email: hari.duche@gmail.com Mobile: +91.9890653659
HARI ARJUN DUCHE
HIGHLIGHTS
 Over 5 years of experience in database internals and implementation.
 Over 5 years of experience in data warehouse and business intelligence, data engine
 Specialization in database internals & the implementation, C and C++.
 Good Experience in Internals of RDBMS like Netezza, PostgreSQL.
 Four patents published on my name.
EMPLOYMENT HISTORY (TOTAL 12 YEARS’ EXPERIENCE)
 Currently, I am working as a TECHNICAL SPECIALIST with Persistent Systems Limited
Pune, India since Sept 2014 till date.
 Worked with IBM India Software Labs (ISL) as a SYSTEM SOFTWARE ARCHITECT from
June 2008 till Aug 2014 (6.2 years)
 Worked with Persistent Systems from January 2004 to 26 June 2008 (4.6 years).
TECHNICAL SKILLS:
Languages C, C++, Python
RDBMS Netezza Performance Server , PostgresSQL, Oracle, SQL Server 2008, DB2
Operating Systems UNIX/Linux, Windows XP
Tools GDB, RTC, IBM Cognos Report Studio, IBM Cognos Framework Manager
WORK DETAILS:
Organization: Persistent Systems Limited
Project Title : Netezza
Scope of the Project : The Netezza Data Engine (NDE) is a single-focus computer system
specifically designed to support very large decision support
databases. It combines massively parallel processing and a
hierarchical model to produce a highly scalable yet straightforward,
fault-tolerant design.
The NPS appliance manages extremely fast data loads and delivers
10 to 50 times the performance at less than half the cost of
comparable data warehouse platforms
Duration : 17 months
Team Size : 70
Role/Responsibilities : I am responsible for design and development of new product
features/enhancements in addition to handling critical customer
escalations. I have developed following features
1. “CASE EXPR” improvement
2. Delete row performance improvement
3. Oracle to Netezza data migration tool
4. Adding actual row count information to plan file
5. Snipper result cache instrumentation project
6. Supporting MAX number of tables creation
I am a technical specialist.
Software Tools : C,C++, GDB

2. Organization: IBM India Software Lab (Cognos project), Pune
Project Title : IBM – StoredIQ
Scope of the Project : The biggest source of unstructured growth is coming from data inside
the enterprise. Behind every corporate firewall lies petabytes of
unstructured and unmanaged business-critical data. IBM StoredIQ
provides the first solution to identify, analyze and act on unstructured
data in-place, without moving your data to a repository or specialty
application. It’s a different approach to solving Big Data problems.
We call it Active Information Management.
The difference is a powerful, open platform that dynamically indexes
and analyzes data in-place. It’s a practical approach that dramatically
improves the speed and reliability of information management
With StoredIQ, we can take Big Data head on to:
1. Gain insight and control over corporate data environments
2. Lower legal discovery cost and risk
3. Apply policies and govern data according to regulatory and
corporate mandates
4. Spot patterns and trends to optimize storage resources
Active Information Management turns petabytes of raw data into
smaller, structured ‘information sets’ that improve every business
process in your organization. It’s an approach that allows you to
reduce the time, cost and resources required to managed and use
unstructured data by more than 95%!
Duration : 6 months
Team Size : 10
Role/Responsibilities : I was the senior developer of StoredIQ Chennai team. I was responsible for
envisioning and implementing new features into the product.
Below are some key features I implemented in StoredIQ.
1. Customizable report framework
2. Ability to export all available attributes of an Infoset to CSV.
3. On the fly serving aggregates requested.. This feature is so generic
that we can serve any type of aggregation request on the fly.
E.g
1. Duplicates information
2. Term hit information.
Software Tools : Python, PDB
Project Title : IBM Cognos – PowerPlay
Scope of the Project : IBM Cognos PowerPlay lets you identify and analyse trends in
business and financial performance for better business decisions.
IBM Cognos PowerPlay lets you analyse large volumes of
dimensionally modelled data with sub-second response times using
either a Windows client or Web browser. It allows viewing data from
any angle and in any combination to identify and analyse the driving
factors behind your business results.
It is a Web-based business intelligence solution with integrated
reporting and data exploration features. It is used to create and view
reports that are based on PowerCube data sources. IBM Cognos
PowerPlay Studio lets you view, explore, format, and distribute
reports.

3. Duration : 43 months
Team Size : 4
Role/Responsibilities : ISL PowerPlay team has world-wide responsibility of this product. I was the
senior key developer of this team and responsible for envisioning and
implementing new features into the product. I was also responsible for doing
feature enhancements; bug fixing, helping customer and 3LS support team
to resolve customer issues. Below are some key features I implemented in
PowerPlay.
4. Implemented “Export to Excel 2007" feature in PowerPlay.
5. Implemented opening PowerPlay report in “Business Insight
Advanced” feature.
6. Provided IPV6 support for PowerPlay
7. Performance improvement in PowerPlay
8. “Drill through to a macro” feature support
9. Implemented urgent enhancement “Add ability to not pass default
MEASURE to target report in PowerPlay” which saved customer
2000 hours of work per month
Software Tools : C,C++
Project Title : Cognos – Universal Data Access (UDA)
Scope of the Project : I worked on a component called UDA (Universal Data Access – a
Cognos aware component). UDA provides uniform method to access
heterogeneous database management systems. It also provides call-level
interface for query execution and metadata access. A query – in Cognos-
SQL form, generated by Cognos products is consumed by UDA. UDA
acquires knowledge of all the capabilities exposed by the underlying
database management systems. Considering these capabilities UDA
decomposes the Cognos-SQL with the goal being to push as much as, if not
all of the computational load, to the database server. Rest of the processing
(which the underlying DBMS is incapable of) is taken place at UDA side;
we call it as local processing.
Duration : 27 months
Team Size : 4
Role/Responsibilities : 1. Here my role was to study different features provided by different
databases like Netezza, Oracle etc and integrate those features in UDA
so that UDA can retrieve data very efficiently.
2. Supported Informix database in UDA for Linux and HP Itanium
platforms.
3. Supported postgres database in UDA.
4. Supported DataDirect driver in UDA.
5. Certified new releases of DB2, Oracle, MySQL and Netezza.
6. Fixed many core UDA bugs.
7. I have Used IBM Cognos report studio, framework manager (metadata
modeling tool) and metric studio. Also I have done three customer POCs
using these tools.
Software Tools : C,C++
Organization: Persistent Systems Private Limited
Project Title : Netezza
Scope of the Project : The Netezza Data Engine (NDE) is a single-focus computer system
specifically designed to support very large decision support
databases. It combines massively parallel processing and a
hierarchical model to produce a highly scalable yet straightforward,
fault-tolerant design.
The NPS appliance manages extremely fast data loads and delivers
10 to 50 times the performance at less than half the cost of

4. comparable data warehouse platforms
Duration : 36 months
Team Size : 70
Role/Responsibilities : Extensively involved in bug fixing of Netezza database internals.
Following are the key areas that I worked in
7. Zonemap: A new indexing technique developed at Netezza
which improves performance dramatically
8. Designed and Developed modules for Date type conversion
mechanism
9. Support for internationalization
10. SQL query parsing
11. Code generation for SQL queries
12. transformation of postgres generated query execution plan to
DBOS (a module) aware structures
Also, I worked on many performances related issues. I know all the
features of Netezza database.
I was a Module Leader of PostgreSQL team, leading team of three
people.
Software Tools : C,C++, GDB
Organization: Persistent Systems Private Limited
Project Title : Solidcore
Scope of the Project : SolidOS:
SolidOS is a product of Solidcore Systems Inc.
(http://www.solidcore.com). It is a server integrity and security solution
that provides two important benefits:
1. No unauthorized code can run on the system
2. Data is changed only when you want it to
The threats to the integrity and security of a system can come from both,
external sources (e.g. a buffer overflow attack over the network), and internal
sources (a user of the system attempts to exploit). Solidcore “Server Integrity
Suite”, a.k.a. SIS (of which SolidOS product is a part) attempts to address
above-mentioned problems.
The “code” that runs on a system could be
1. Executable code (e.g. binary executable and shared libraries)
2. Scripts (e.g. Perl)
3. Application specific (e.g. PL/SQL code running inside Oracle
server or Java code running inside a J2EE server)
SolidOS protects against the above types of code attacks.
SolidDB
SolidDB is a change control enforcement product developed by
Solidcore systems for enterprise database environment.
SolidDB top level feature list
SolidDB code protection
1. Modes of operation
a. Production mode: Any change in the supported executable
is not allowed. This mode will prevent the
create/modify/drop of any of the supported database
executable. All attempts to change the database executable
are logged.
b. Maintenance mode: In this mode, any user code except the
Solidcore administrator code can be

5. created/modified/dropped. All activities of changing the
supported executable are logged.
c. Disable mode: In this mode, the SolidDB is not in path at
all, it is uninstalled. No triggers of SolidDB user are
present, and hence any code can be
creatd/modified/dropped. No logging happens in this
mode.
2. Create, modify or drop of the supported database executable
are strictly prohibited in the production mode.
3. Any database executable, other than that owned by soliddb
administrator user can be modified in the maintenance mode.
4. Traces generated for all activities.
SolidDB data protection:
1. Modes of operation
a. Production mode: Any change in the protected tables is not
allowed. This mode will prevent the
create/modify/drop/insert/update/delete of any of the
protected database tables. All attempts to change the
protected tables are logged.
b. Maintenance mode: This mode will prevent the
create/modify/drop of any of the protected database tables.
In this mode, any user tables except the Solidcore
administrator tables allow DML operations. All activities of
performing DML operations on protected tables are logged.
c. Disable mode: In this mode, the SolidDB is not in path at
all, it is uninstalled. No triggers of SolidDB user are
present, and hence any table can be
created/modified/dropped/inserted/updated/deleted. No
logging happens in this mode.
.
Duration : 16 months
Team Size : 33
Role/Responsibilities : • Involved in design, development, testing and bug fixing of SolidDB
product.
Software Tools : C, C++, Oracle, PL-SQL
COLLABORATIONS:
 Co-ordinated and Integrated INFORMIX and RED-BRICKS databases feature in IBM Cognos UDA
(Universal Data Access layer)
 Created Classic and Advanced reports on IM tool using IBM Cognos.
 Created “ISL Level Attrition Analysis” tool using IBM Cognos Framework Manager, Data Manager
ETL tool and Report Studio.
CUSTOMER ENGAGEMENTS:
 I have done POC’s for Reliance Health Insurance, TSS and CRIS using IBM Cognos.
 Created Classic and Advanced reports on IM tool using IBM Cognos..
ACHIEVEMENS:
 I have four patents published on my name.
 Got IBM “Eminence and Excellence” award with 500$ cash.
 Got award from IBM Cognos VP Eric Yau for the excellent work done and all-rounder performance in
UDA (Universal Data Access layer).
 Got award from IBM Country Manager Bhushan Kelkar for remote mentoring work done as part of
IBM “Be a Start Be a Guide” program.

6.  Got two “You Made A Difference” awards from Persistent Systems Ltd.
CERTIFICATIONS:
 I am a IBM certified “IBM Cognos FM Metadata Model” Developer
 I have cleared Persistent exams for Java Script, HTML5 and Angular JS technologies
PERSONAL DETAILS
 Date of Birth: 28 Sept 1980
 Contact Number: +91.9890653659
 Residence Address: Aranyeshwar Nagar, 47/26, Pune-9 (Parvati), Maharashtra.

7.  Got two “You Made A Difference” awards from Persistent Systems Ltd.
CERTIFICATIONS:
 I am a IBM certified “IBM Cognos FM Metadata Model” Developer
 I have cleared Persistent exams for Java Script, HTML5 and Angular JS technologies
PERSONAL DETAILS
 Date of Birth: 28 Sept 1980
 Contact Number: +91.9890653659
 Residence Address: Aranyeshwar Nagar, 47/26, Pune-9 (Parvati), Maharashtra.